DataSets_multi_task_w2v.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['A', 'B', 'T']\n",
      "原始句子:重仓, 三安光电, 的, 基金, 自, 去年, 四季, 度, 起, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:nz, ni, u, n, p, nt, n, q, v, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓, 重仓\n",
      "候选词:三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电, 三安光电\n",
      "事件类型：[0, 0, 0, 0, 1, 0, 0, 0, 0]\n",
      "角色类别:[0, 0, 1, 0, 0, 0]\n",
      "候选词位置向量：[-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]\n",
      "触发词位置向量:[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "候选词的上下文：重仓, 三安光电, 的\n",
      "触发词的上下文：<eos>, 重仓, 三安光电\n",
      "上下文特征：<eos>, 重仓, 三安光电\n",
      "上下文特征：重仓, 三安光电, 的\n",
      "上下文特征：三安光电, 的, 基金\n",
      "上下文特征：的, 基金, 自\n",
      "上下文特征：基金, 自, 去年\n",
      "上下文特征：自, 去年, 四季\n",
      "上下文特征：去年, 四季, 度\n",
      "上下文特征：四季, 度, 起\n",
      "上下文特征：度, 起, <eos>\n",
      "上下文特征：起, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:上海钢联, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]\n",
      "候选词的上下文：<eos>, 上海钢联, 涨停\n",
      "触发词的上下文：上海钢联, 涨停, <eos>\n",
      "上下文特征：<eos>, 上海钢联, 涨停\n",
      "上下文特征：上海钢联, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:东方财富, 、, 上海钢联, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联, 上海钢联\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "候选词的上下文：、, 上海钢联, 涨停\n",
      "触发词的上下文：上海钢联, 涨停, <eos>\n",
      "上下文特征：<eos>, 东方财富, 、\n",
      "上下文特征：东方财富, 、, 上海钢联\n",
      "上下文特征：、, 上海钢联, 涨停\n",
      "上下文特征：上海钢联, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:东方财富, 、, 上海钢联, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富, 东方财富\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "候选词的上下文：<eos>, 东方财富, 、\n",
      "触发词的上下文：上海钢联, 涨停, <eos>\n",
      "上下文特征：<eos>, 东方财富, 、\n",
      "上下文特征：东方财富, 、, 上海钢联\n",
      "上下文特征：、, 上海钢联, 涨停\n",
      "上下文特征：上海钢联, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:靖远煤电, 直线, 拉升, 至, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, n, v, p, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升, 拉升\n",
      "候选词:靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "候选词的上下文：<eos>, 靖远煤电, 直线\n",
      "触发词的上下文：直线, 拉升, 至\n",
      "上下文特征：<eos>, 靖远煤电, 直线\n",
      "上下文特征：靖远煤电, 直线, 拉升\n",
      "上下文特征：直线, 拉升, 至\n",
      "上下文特征：拉升, 至, 涨停\n",
      "上下文特征：至, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:靖远煤电, 直线, 拉升, 至, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, n, v, p, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电, 靖远煤电\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "候选词的上下文：<eos>, 靖远煤电, 直线\n",
      "触发词的上下文：至, 涨停, <eos>\n",
      "上下文特征：<eos>, 靖远煤电, 直线\n",
      "上下文特征：靖远煤电, 直线, 拉升\n",
      "上下文特征：直线, 拉升, 至\n",
      "上下文特征：拉升, 至, 涨停\n",
      "上下文特征：至, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:其中, 同济科技, 一, 字, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:r, ni, m, n, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技, 同济科技\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]\n",
      "触发词位置向量:[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "候选词的上下文：其中, 同济科技, 一\n",
      "触发词的上下文：字, 涨停, <eos>\n",
      "上下文特征：<eos>, 其中, 同济科技\n",
      "上下文特征：其中, 同济科技, 一\n",
      "上下文特征：同济科技, 一, 字\n",
      "上下文特征：一, 字, 涨停\n",
      "上下文特征：字, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:长城电工, 快速, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, d, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工, 长城电工\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "候选词的上下文：<eos>, 长城电工, 快速\n",
      "触发词的上下文：快速, 涨停, <eos>\n",
      "上下文特征：<eos>, 长城电工, 快速\n",
      "上下文特征：长城电工, 快速, 涨停\n",
      "上下文特征：快速, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:天通股份, 、, 东晶电子, 上涨, 逾, 5%, 。, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, v, v, m, wp, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨\n",
      "候选词:天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份, 天通股份\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "候选词的上下文：<eos>, 天通股份, 、\n",
      "触发词的上下文：东晶电子, 上涨, 逾\n",
      "上下文特征：<eos>, 天通股份, 、\n",
      "上下文特征：天通股份, 、, 东晶电子\n",
      "上下文特征：、, 东晶电子, 上涨\n",
      "上下文特征：东晶电子, 上涨, 逾\n",
      "上下文特征：上涨, 逾, 5%\n",
      "上下文特征：逾, 5%, 。\n",
      "上下文特征：5%, 。, <eos>\n",
      "上下文特征：。, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:天通股份, 、, 东晶电子, 上涨, 逾, 5%, 。, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, v, v, m, wp, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨\n",
      "候选词:东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子, 东晶电子\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "候选词的上下文：、, 东晶电子, 上涨\n",
      "触发词的上下文：东晶电子, 上涨, 逾\n",
      "上下文特征：<eos>, 天通股份, 、\n",
      "上下文特征：天通股份, 、, 东晶电子\n",
      "上下文特征：、, 东晶电子, 上涨\n",
      "上下文特征：东晶电子, 上涨, 逾\n",
      "上下文特征：上涨, 逾, 5%\n",
      "上下文特征：逾, 5%, 。\n",
      "上下文特征：5%, 。, <eos>\n",
      "上下文特征：。, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:天通股份, 、, 东晶电子, 上涨, 逾, 5%, 。, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, v, v, m, wp, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨\n",
      "候选词:5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%, 5%\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 0, 0, 0, 0, 1]\n",
      "候选词位置向量：[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "触发词位置向量:[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "候选词的上下文：逾, 5%, 。\n",
      "触发词的上下文：东晶电子, 上涨, 逾\n",
      "上下文特征：<eos>, 天通股份, 、\n",
      "上下文特征：天通股份, 、, 东晶电子\n",
      "上下文特征：、, 东晶电子, 上涨\n",
      "上下文特征：东晶电子, 上涨, 逾\n",
      "上下文特征：上涨, 逾, 5%\n",
      "上下文特征：逾, 5%, 。\n",
      "上下文特征：5%, 。, <eos>\n",
      "上下文特征：。, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:午后, 在, 中石化, 带动, 下, 出现, 一, 波, 快速, 杀跌, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:nt, p, ni, v, nd, v, m, n, d, nz, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌, 杀跌\n",
      "候选词:中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化, 中石化\n",
      "事件类型：[0, 0, 1, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "候选词的上下文：在, 中石化, 带动\n",
      "触发词的上下文：快速, 杀跌, <eos>\n",
      "上下文特征：<eos>, 午后, 在\n",
      "上下文特征：午后, 在, 中石化\n",
      "上下文特征：在, 中石化, 带动\n",
      "上下文特征：中石化, 带动, 下\n",
      "上下文特征：带动, 下, 出现\n",
      "上下文特征：下, 出现, 一\n",
      "上下文特征：出现, 一, 波\n",
      "上下文特征：一, 波, 快速\n",
      "上下文特征：波, 快速, 杀跌\n",
      "上下文特征：快速, 杀跌, <eos>\n",
      "上下文特征：杀跌, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:其中, 迪马股份, 昨日, 强势, 封死, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:r, ni, nt, n, nz, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份, 迪马股份\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：其中, 迪马股份, 昨日\n",
      "触发词的上下文：封死, 涨停, <eos>\n",
      "上下文特征：<eos>, 其中, 迪马股份\n",
      "上下文特征：其中, 迪马股份, 昨日\n",
      "上下文特征：迪马股份, 昨日, 强势\n",
      "上下文特征：昨日, 强势, 封死\n",
      "上下文特征：强势, 封死, 涨停\n",
      "上下文特征：封死, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:中航重机, 、, 银邦股份, 、, 海源机械, 纷纷, 冲击, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, d, v, nz, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机, 中航重机\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n",
      "候选词的上下文：<eos>, 中航重机, 、\n",
      "触发词的上下文：冲击, 涨停, <eos>\n",
      "上下文特征：<eos>, 中航重机, 、\n",
      "上下文特征：中航重机, 、, 银邦股份\n",
      "上下文特征：、, 银邦股份, 、\n",
      "上下文特征：银邦股份, 、, 海源机械\n",
      "上下文特征：、, 海源机械, 纷纷\n",
      "上下文特征：海源机械, 纷纷, 冲击\n",
      "上下文特征：纷纷, 冲击, 涨停\n",
      "上下文特征：冲击, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:中航重机, 、, 银邦股份, 、, 海源机械, 纷纷, 冲击, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, d, v, nz, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份, 银邦股份\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n",
      "候选词的上下文：、, 银邦股份, 、\n",
      "触发词的上下文：冲击, 涨停, <eos>\n",
      "上下文特征：<eos>, 中航重机, 、\n",
      "上下文特征：中航重机, 、, 银邦股份\n",
      "上下文特征：、, 银邦股份, 、\n",
      "上下文特征：银邦股份, 、, 海源机械\n",
      "上下文特征：、, 海源机械, 纷纷\n",
      "上下文特征：海源机械, 纷纷, 冲击\n",
      "上下文特征：纷纷, 冲击, 涨停\n",
      "上下文特征：冲击, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:中航重机, 、, 银邦股份, 、, 海源机械, 纷纷, 冲击, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, d, v, nz, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械, 海源机械\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "触发词位置向量:[-7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n",
      "候选词的上下文：、, 海源机械, 纷纷\n",
      "触发词的上下文：冲击, 涨停, <eos>\n",
      "上下文特征：<eos>, 中航重机, 、\n",
      "上下文特征：中航重机, 、, 银邦股份\n",
      "上下文特征：、, 银邦股份, 、\n",
      "上下文特征：银邦股份, 、, 海源机械\n",
      "上下文特征：、, 海源机械, 纷纷\n",
      "上下文特征：海源机械, 纷纷, 冲击\n",
      "上下文特征：纷纷, 冲击, 涨停\n",
      "上下文特征：冲击, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:博腾股份, 下跌, 逾, 9%, 。, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, v, v, m, wp, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌\n",
      "候选词:博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份, 博腾股份\n",
      "事件类型：[0, 0, 1, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]\n",
      "候选词的上下文：<eos>, 博腾股份, 下跌\n",
      "触发词的上下文：博腾股份, 下跌, 逾\n",
      "上下文特征：<eos>, 博腾股份, 下跌\n",
      "上下文特征：博腾股份, 下跌, 逾\n",
      "上下文特征：下跌, 逾, 9%\n",
      "上下文特征：逾, 9%, 。\n",
      "上下文特征：9%, 。, <eos>\n",
      "上下文特征：。, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:博腾股份, 下跌, 逾, 9%, 。, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, v, v, m, wp, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌\n",
      "候选词:9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%, 9%\n",
      "事件类型：[0, 0, 1, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 0, 0, 0, 0, 1]\n",
      "候选词位置向量：[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "触发词位置向量:[-1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]\n",
      "候选词的上下文：逾, 9%, 。\n",
      "触发词的上下文：博腾股份, 下跌, 逾\n",
      "上下文特征：<eos>, 博腾股份, 下跌\n",
      "上下文特征：博腾股份, 下跌, 逾\n",
      "上下文特征：下跌, 逾, 9%\n",
      "上下文特征：逾, 9%, 。\n",
      "上下文特征：9%, 。, <eos>\n",
      "上下文特征：。, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:绿盟科技, 、, 易事特, 下跌, 逾, 7%, 。, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, v, v, m, wp, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌\n",
      "候选词:绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技, 绿盟科技\n",
      "事件类型：[0, 0, 1, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "候选词的上下文：<eos>, 绿盟科技, 、\n",
      "触发词的上下文：易事特, 下跌, 逾\n",
      "上下文特征：<eos>, 绿盟科技, 、\n",
      "上下文特征：绿盟科技, 、, 易事特\n",
      "上下文特征：、, 易事特, 下跌\n",
      "上下文特征：易事特, 下跌, 逾\n",
      "上下文特征：下跌, 逾, 7%\n",
      "上下文特征：逾, 7%, 。\n",
      "上下文特征：7%, 。, <eos>\n",
      "上下文特征：。, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:绿盟科技, 、, 易事特, 下跌, 逾, 7%, 。, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, v, v, m, wp, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌\n",
      "候选词:易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特, 易事特\n",
      "事件类型：[0, 0, 1, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "候选词的上下文：、, 易事特, 下跌\n",
      "触发词的上下文：易事特, 下跌, 逾\n",
      "上下文特征：<eos>, 绿盟科技, 、\n",
      "上下文特征：绿盟科技, 、, 易事特\n",
      "上下文特征：、, 易事特, 下跌\n",
      "上下文特征：易事特, 下跌, 逾\n",
      "上下文特征：下跌, 逾, 7%\n",
      "上下文特征：逾, 7%, 。\n",
      "上下文特征：7%, 。, <eos>\n",
      "上下文特征：。, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:绿盟科技, 、, 易事特, 下跌, 逾, 7%, 。, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, v, v, m, wp, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌, 下跌\n",
      "候选词:7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%, 7%\n",
      "事件类型：[0, 0, 1, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 0, 0, 0, 0, 1]\n",
      "候选词位置向量：[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "触发词位置向量:[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "候选词的上下文：逾, 7%, 。\n",
      "触发词的上下文：易事特, 下跌, 逾\n",
      "上下文特征：<eos>, 绿盟科技, 、\n",
      "上下文特征：绿盟科技, 、, 易事特\n",
      "上下文特征：、, 易事特, 下跌\n",
      "上下文特征：易事特, 下跌, 逾\n",
      "上下文特征：下跌, 逾, 7%\n",
      "上下文特征：逾, 7%, 。\n",
      "上下文特征：7%, 。, <eos>\n",
      "上下文特征：。, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:登云股份, 、, 天保, 重装, 两股, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, nz, v, m, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份, 登云股份\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：<eos>, 登云股份, 、\n",
      "触发词的上下文：两股, 涨停, <eos>\n",
      "上下文特征：<eos>, 登云股份, 、\n",
      "上下文特征：登云股份, 、, 天保\n",
      "上下文特征：、, 天保, 重装\n",
      "上下文特征：天保, 重装, 两股\n",
      "上下文特征：重装, 两股, 涨停\n",
      "上下文特征：两股, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:登云股份, 、, 天保, 重装, 两股, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, nz, v, m, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保, 天保\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：、, 天保, 重装\n",
      "触发词的上下文：两股, 涨停, <eos>\n",
      "上下文特征：<eos>, 登云股份, 、\n",
      "上下文特征：登云股份, 、, 天保\n",
      "上下文特征：、, 天保, 重装\n",
      "上下文特征：天保, 重装, 两股\n",
      "上下文特征：重装, 两股, 涨停\n",
      "上下文特征：两股, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:中国联通, 盘中, 冲击, 涨停, 也, 有效地, 恢复, 了, 市场, 人气, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, n, v, nz, d, nz, v, u, n, n, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通, 中国联通\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "候选词的上下文：<eos>, 中国联通, 盘中\n",
      "触发词的上下文：冲击, 涨停, 也\n",
      "上下文特征：<eos>, 中国联通, 盘中\n",
      "上下文特征：中国联通, 盘中, 冲击\n",
      "上下文特征：盘中, 冲击, 涨停\n",
      "上下文特征：冲击, 涨停, 也\n",
      "上下文特征：涨停, 也, 有效地\n",
      "上下文特征：也, 有效地, 恢复\n",
      "上下文特征：有效地, 恢复, 了\n",
      "上下文特征：恢复, 了, 市场\n",
      "上下文特征：了, 市场, 人气\n",
      "上下文特征：市场, 人气, <eos>\n",
      "上下文特征：人气, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:徐家汇, 等, 多, 股, 齐, 飙涨, 停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, u, a, q, a, v, v, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨, 飙涨\n",
      "候选词:徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：<eos>, 徐家汇, 等\n",
      "触发词的上下文：齐, 飙涨, 停\n",
      "上下文特征：<eos>, 徐家汇, 等\n",
      "上下文特征：徐家汇, 等, 多\n",
      "上下文特征：等, 多, 股\n",
      "上下文特征：多, 股, 齐\n",
      "上下文特征：股, 齐, 飙涨\n",
      "上下文特征：齐, 飙涨, 停\n",
      "上下文特征：飙涨, 停, <eos>\n",
      "上下文特征：停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:仪电电子, 、, 中国石化, 、, 京东方, 等, 低价, 大盘股, 出现, 异动, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, u, n, nz, v, nz, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动\n",
      "候选词:仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子, 仪电电子\n",
      "事件类型：[0, 0, 0, 1, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "候选词的上下文：<eos>, 仪电电子, 、\n",
      "触发词的上下文：出现, 异动, <eos>\n",
      "上下文特征：<eos>, 仪电电子, 、\n",
      "上下文特征：仪电电子, 、, 中国石化\n",
      "上下文特征：、, 中国石化, 、\n",
      "上下文特征：中国石化, 、, 京东方\n",
      "上下文特征：、, 京东方, 等\n",
      "上下文特征：京东方, 等, 低价\n",
      "上下文特征：等, 低价, 大盘股\n",
      "上下文特征：低价, 大盘股, 出现\n",
      "上下文特征：大盘股, 出现, 异动\n",
      "上下文特征：出现, 异动, <eos>\n",
      "上下文特征：异动, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:仪电电子, 、, 中国石化, 、, 京东方, 等, 低价, 大盘股, 出现, 异动, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, u, n, nz, v, nz, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动\n",
      "候选词:中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化, 中国石化\n",
      "事件类型：[0, 0, 0, 1, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "候选词的上下文：、, 中国石化, 、\n",
      "触发词的上下文：出现, 异动, <eos>\n",
      "上下文特征：<eos>, 仪电电子, 、\n",
      "上下文特征：仪电电子, 、, 中国石化\n",
      "上下文特征：、, 中国石化, 、\n",
      "上下文特征：中国石化, 、, 京东方\n",
      "上下文特征：、, 京东方, 等\n",
      "上下文特征：京东方, 等, 低价\n",
      "上下文特征：等, 低价, 大盘股\n",
      "上下文特征：低价, 大盘股, 出现\n",
      "上下文特征：大盘股, 出现, 异动\n",
      "上下文特征：出现, 异动, <eos>\n",
      "上下文特征：异动, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:仪电电子, 、, 中国石化, 、, 京东方, 等, 低价, 大盘股, 出现, 异动, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, u, n, nz, v, nz, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动, 异动\n",
      "候选词:京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方, 京东方\n",
      "事件类型：[0, 0, 0, 1, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "触发词位置向量:[-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "候选词的上下文：、, 京东方, 等\n",
      "触发词的上下文：出现, 异动, <eos>\n",
      "上下文特征：<eos>, 仪电电子, 、\n",
      "上下文特征：仪电电子, 、, 中国石化\n",
      "上下文特征：、, 中国石化, 、\n",
      "上下文特征：中国石化, 、, 京东方\n",
      "上下文特征：、, 京东方, 等\n",
      "上下文特征：京东方, 等, 低价\n",
      "上下文特征：等, 低价, 大盘股\n",
      "上下文特征：低价, 大盘股, 出现\n",
      "上下文特征：大盘股, 出现, 异动\n",
      "上下文特征：出现, 异动, <eos>\n",
      "上下文特征：异动, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:英飞拓, 、, 蓝盾股份, 盘中, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, n, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓, 英飞拓\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "候选词的上下文：<eos>, 英飞拓, 、\n",
      "触发词的上下文：盘中, 涨停, <eos>\n",
      "上下文特征：<eos>, 英飞拓, 、\n",
      "上下文特征：英飞拓, 、, 蓝盾股份\n",
      "上下文特征：、, 蓝盾股份, 盘中\n",
      "上下文特征：蓝盾股份, 盘中, 涨停\n",
      "上下文特征：盘中, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:英飞拓, 、, 蓝盾股份, 盘中, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, n, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份, 蓝盾股份\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "候选词的上下文：、, 蓝盾股份, 盘中\n",
      "触发词的上下文：盘中, 涨停, <eos>\n",
      "上下文特征：<eos>, 英飞拓, 、\n",
      "上下文特征：英飞拓, 、, 蓝盾股份\n",
      "上下文特征：、, 蓝盾股份, 盘中\n",
      "上下文特征：蓝盾股份, 盘中, 涨停\n",
      "上下文特征：盘中, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:金一文化, 、, 金轮股份, 等, 16只, 次新股, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, u, m, nz, nz, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化, 金一文化\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]\n",
      "候选词的上下文：<eos>, 金一文化, 、\n",
      "触发词的上下文：次新股, 涨停, <eos>\n",
      "上下文特征：<eos>, 金一文化, 、\n",
      "上下文特征：金一文化, 、, 金轮股份\n",
      "上下文特征：、, 金轮股份, 等\n",
      "上下文特征：金轮股份, 等, 16只\n",
      "上下文特征：等, 16只, 次新股\n",
      "上下文特征：16只, 次新股, 涨停\n",
      "上下文特征：次新股, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:金一文化, 、, 金轮股份, 等, 16只, 次新股, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, u, m, nz, nz, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份, 金轮股份\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]\n",
      "候选词的上下文：、, 金轮股份, 等\n",
      "触发词的上下文：次新股, 涨停, <eos>\n",
      "上下文特征：<eos>, 金一文化, 、\n",
      "上下文特征：金一文化, 、, 金轮股份\n",
      "上下文特征：、, 金轮股份, 等\n",
      "上下文特征：金轮股份, 等, 16只\n",
      "上下文特征：等, 16只, 次新股\n",
      "上下文特征：16只, 次新股, 涨停\n",
      "上下文特征：次新股, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:12月20日, 尾盘, 建设银行, (), 等, 大盘, 金融股, 惊, 现, 暴跌, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:nt, nz, ni, wp, u, n, nz, v, nt, v, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌\n",
      "候选词:建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行, 建设银行\n",
      "事件类型：[0, 0, 1, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "候选词的上下文：尾盘, 建设银行, ()\n",
      "触发词的上下文：现, 暴跌, <eos>\n",
      "上下文特征：<eos>, 12月20日, 尾盘\n",
      "上下文特征：12月20日, 尾盘, 建设银行\n",
      "上下文特征：尾盘, 建设银行, ()\n",
      "上下文特征：建设银行, (), 等\n",
      "上下文特征：(), 等, 大盘\n",
      "上下文特征：等, 大盘, 金融股\n",
      "上下文特征：大盘, 金融股, 惊\n",
      "上下文特征：金融股, 惊, 现\n",
      "上下文特征：惊, 现, 暴跌\n",
      "上下文特征：现, 暴跌, <eos>\n",
      "上下文特征：暴跌, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:12月20日, 尾盘, 建设银行, (), 等, 大盘, 金融股, 惊, 现, 暴跌, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:nt, nz, ni, wp, u, n, nz, v, nt, v, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌, 暴跌\n",
      "候选词:12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日, 12月20日\n",
      "事件类型：[0, 0, 1, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 0, 0, 1, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "候选词的上下文：<eos>, 12月20日, 尾盘\n",
      "触发词的上下文：现, 暴跌, <eos>\n",
      "上下文特征：<eos>, 12月20日, 尾盘\n",
      "上下文特征：12月20日, 尾盘, 建设银行\n",
      "上下文特征：尾盘, 建设银行, ()\n",
      "上下文特征：建设银行, (), 等\n",
      "上下文特征：(), 等, 大盘\n",
      "上下文特征：等, 大盘, 金融股\n",
      "上下文特征：大盘, 金融股, 惊\n",
      "上下文特征：金融股, 惊, 现\n",
      "上下文特征：惊, 现, 暴跌\n",
      "上下文特征：现, 暴跌, <eos>\n",
      "上下文特征：暴跌, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:新世界, 、, 徐家汇, 强势, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, n, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇, 徐家汇\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "候选词的上下文：、, 徐家汇, 强势\n",
      "触发词的上下文：强势, 涨停, <eos>\n",
      "上下文特征：<eos>, 新世界, 、\n",
      "上下文特征：新世界, 、, 徐家汇\n",
      "上下文特征：、, 徐家汇, 强势\n",
      "上下文特征：徐家汇, 强势, 涨停\n",
      "上下文特征：强势, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:新世界, 、, 徐家汇, 强势, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, n, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界, 新世界\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "候选词的上下文：<eos>, 新世界, 、\n",
      "触发词的上下文：强势, 涨停, <eos>\n",
      "上下文特征：<eos>, 新世界, 、\n",
      "上下文特征：新世界, 、, 徐家汇\n",
      "上下文特征：、, 徐家汇, 强势\n",
      "上下文特征：徐家汇, 强势, 涨停\n",
      "上下文特征：强势, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:自仪股份, 、, 上海九百, 、, 益民集团, 等, 也, 出现, 大幅, 上涨, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, u, d, v, d, v, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨\n",
      "候选词:自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份, 自仪股份\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "候选词的上下文：<eos>, 自仪股份, 、\n",
      "触发词的上下文：大幅, 上涨, <eos>\n",
      "上下文特征：<eos>, 自仪股份, 、\n",
      "上下文特征：自仪股份, 、, 上海九百\n",
      "上下文特征：、, 上海九百, 、\n",
      "上下文特征：上海九百, 、, 益民集团\n",
      "上下文特征：、, 益民集团, 等\n",
      "上下文特征：益民集团, 等, 也\n",
      "上下文特征：等, 也, 出现\n",
      "上下文特征：也, 出现, 大幅\n",
      "上下文特征：出现, 大幅, 上涨\n",
      "上下文特征：大幅, 上涨, <eos>\n",
      "上下文特征：上涨, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:自仪股份, 、, 上海九百, 、, 益民集团, 等, 也, 出现, 大幅, 上涨, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, u, d, v, d, v, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨\n",
      "候选词:上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百, 上海九百\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "候选词的上下文：、, 上海九百, 、\n",
      "触发词的上下文：大幅, 上涨, <eos>\n",
      "上下文特征：<eos>, 自仪股份, 、\n",
      "上下文特征：自仪股份, 、, 上海九百\n",
      "上下文特征：、, 上海九百, 、\n",
      "上下文特征：上海九百, 、, 益民集团\n",
      "上下文特征：、, 益民集团, 等\n",
      "上下文特征：益民集团, 等, 也\n",
      "上下文特征：等, 也, 出现\n",
      "上下文特征：也, 出现, 大幅\n",
      "上下文特征：出现, 大幅, 上涨\n",
      "上下文特征：大幅, 上涨, <eos>\n",
      "上下文特征：上涨, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:自仪股份, 、, 上海九百, 、, 益民集团, 等, 也, 出现, 大幅, 上涨, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, u, d, v, d, v, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨\n",
      "候选词:益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团, 益民集团\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "触发词位置向量:[-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
      "候选词的上下文：、, 益民集团, 等\n",
      "触发词的上下文：大幅, 上涨, <eos>\n",
      "上下文特征：<eos>, 自仪股份, 、\n",
      "上下文特征：自仪股份, 、, 上海九百\n",
      "上下文特征：、, 上海九百, 、\n",
      "上下文特征：上海九百, 、, 益民集团\n",
      "上下文特征：、, 益民集团, 等\n",
      "上下文特征：益民集团, 等, 也\n",
      "上下文特征：等, 也, 出现\n",
      "上下文特征：也, 出现, 大幅\n",
      "上下文特征：出现, 大幅, 上涨\n",
      "上下文特征：大幅, 上涨, <eos>\n",
      "上下文特征：上涨, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:万向钱潮, 一度, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, d, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮, 万向钱潮\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "候选词的上下文：<eos>, 万向钱潮, 一度\n",
      "触发词的上下文：一度, 涨停, <eos>\n",
      "上下文特征：<eos>, 万向钱潮, 一度\n",
      "上下文特征：万向钱潮, 一度, 涨停\n",
      "上下文特征：一度, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:赛为智能, 、, 扬杰科技, 、, 新国都, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能, 赛为智能\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：<eos>, 赛为智能, 、\n",
      "触发词的上下文：新国都, 涨停, <eos>\n",
      "上下文特征：<eos>, 赛为智能, 、\n",
      "上下文特征：赛为智能, 、, 扬杰科技\n",
      "上下文特征：、, 扬杰科技, 、\n",
      "上下文特征：扬杰科技, 、, 新国都\n",
      "上下文特征：、, 新国都, 涨停\n",
      "上下文特征：新国都, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:赛为智能, 、, 扬杰科技, 、, 新国都, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技, 扬杰科技\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：、, 扬杰科技, 、\n",
      "触发词的上下文：新国都, 涨停, <eos>\n",
      "上下文特征：<eos>, 赛为智能, 、\n",
      "上下文特征：赛为智能, 、, 扬杰科技\n",
      "上下文特征：、, 扬杰科技, 、\n",
      "上下文特征：扬杰科技, 、, 新国都\n",
      "上下文特征：、, 新国都, 涨停\n",
      "上下文特征：新国都, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:赛为智能, 、, 扬杰科技, 、, 新国都, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, wp, ni, nz, *, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都, 新国都\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：、, 新国都, 涨停\n",
      "触发词的上下文：新国都, 涨停, <eos>\n",
      "上下文特征：<eos>, 赛为智能, 、\n",
      "上下文特征：赛为智能, 、, 扬杰科技\n",
      "上下文特征：、, 扬杰科技, 、\n",
      "上下文特征：扬杰科技, 、, 新国都\n",
      "上下文特征：、, 新国都, 涨停\n",
      "上下文特征：新国都, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:新宙邦, 、, 赣锋锂业, 等, 也, 出现, 大幅, 上涨, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, u, d, v, d, v, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨\n",
      "候选词:新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦, 新宙邦\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n",
      "候选词的上下文：<eos>, 新宙邦, 、\n",
      "触发词的上下文：大幅, 上涨, <eos>\n",
      "上下文特征：<eos>, 新宙邦, 、\n",
      "上下文特征：新宙邦, 、, 赣锋锂业\n",
      "上下文特征：、, 赣锋锂业, 等\n",
      "上下文特征：赣锋锂业, 等, 也\n",
      "上下文特征：等, 也, 出现\n",
      "上下文特征：也, 出现, 大幅\n",
      "上下文特征：出现, 大幅, 上涨\n",
      "上下文特征：大幅, 上涨, <eos>\n",
      "上下文特征：上涨, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:新宙邦, 、, 赣锋锂业, 等, 也, 出现, 大幅, 上涨, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, u, d, v, d, v, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨, 上涨\n",
      "候选词:赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业, 赣锋锂业\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[-2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n",
      "触发词位置向量:[-7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n",
      "候选词的上下文：、, 赣锋锂业, 等\n",
      "触发词的上下文：大幅, 上涨, <eos>\n",
      "上下文特征：<eos>, 新宙邦, 、\n",
      "上下文特征：新宙邦, 、, 赣锋锂业\n",
      "上下文特征：、, 赣锋锂业, 等\n",
      "上下文特征：赣锋锂业, 等, 也\n",
      "上下文特征：等, 也, 出现\n",
      "上下文特征：也, 出现, 大幅\n",
      "上下文特征：出现, 大幅, 上涨\n",
      "上下文特征：大幅, 上涨, <eos>\n",
      "上下文特征：上涨, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:中邮, 战略, 新兴产业, 一直, 在, 增持, 旋极信息, 、, 汉鼎股份, 以及, 国瓷新材, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, n, nz, d, p, v, ni, wp, ni, c, ni, *, *, *, *, *, *, *, *, *\n",
      "触发词:增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持\n",
      "候选词:中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮, 中邮\n",
      "事件类型：[0, 0, 0, 0, 1, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：<eos>, 中邮, 战略\n",
      "触发词的上下文：在, 增持, 旋极信息\n",
      "上下文特征：<eos>, 中邮, 战略\n",
      "上下文特征：中邮, 战略, 新兴产业\n",
      "上下文特征：战略, 新兴产业, 一直\n",
      "上下文特征：新兴产业, 一直, 在\n",
      "上下文特征：一直, 在, 增持\n",
      "上下文特征：在, 增持, 旋极信息\n",
      "上下文特征：增持, 旋极信息, 、\n",
      "上下文特征：旋极信息, 、, 汉鼎股份\n",
      "上下文特征：、, 汉鼎股份, 以及\n",
      "上下文特征：汉鼎股份, 以及, 国瓷新材\n",
      "上下文特征：以及, 国瓷新材, <eos>\n",
      "上下文特征：国瓷新材, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:中邮, 战略, 新兴产业, 一直, 在, 增持, 旋极信息, 、, 汉鼎股份, 以及, 国瓷新材, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, n, nz, d, p, v, ni, wp, ni, c, ni, *, *, *, *, *, *, *, *, *\n",
      "触发词:增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持\n",
      "候选词:旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息, 旋极信息\n",
      "事件类型：[0, 0, 0, 0, 1, 0, 0, 0, 0]\n",
      "角色类别:[0, 0, 1, 0, 0, 0]\n",
      "候选词位置向量：[-6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：增持, 旋极信息, 、\n",
      "触发词的上下文：在, 增持, 旋极信息\n",
      "上下文特征：<eos>, 中邮, 战略\n",
      "上下文特征：中邮, 战略, 新兴产业\n",
      "上下文特征：战略, 新兴产业, 一直\n",
      "上下文特征：新兴产业, 一直, 在\n",
      "上下文特征：一直, 在, 增持\n",
      "上下文特征：在, 增持, 旋极信息\n",
      "上下文特征：增持, 旋极信息, 、\n",
      "上下文特征：旋极信息, 、, 汉鼎股份\n",
      "上下文特征：、, 汉鼎股份, 以及\n",
      "上下文特征：汉鼎股份, 以及, 国瓷新材\n",
      "上下文特征：以及, 国瓷新材, <eos>\n",
      "上下文特征：国瓷新材, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:中邮, 战略, 新兴产业, 一直, 在, 增持, 旋极信息, 、, 汉鼎股份, 以及, 国瓷新材, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, n, nz, d, p, v, ni, wp, ni, c, ni, *, *, *, *, *, *, *, *, *\n",
      "触发词:增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持\n",
      "候选词:汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份, 汉鼎股份\n",
      "事件类型：[0, 0, 0, 0, 1, 0, 0, 0, 0]\n",
      "角色类别:[0, 0, 1, 0, 0, 0]\n",
      "候选词位置向量：[-8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：、, 汉鼎股份, 以及\n",
      "触发词的上下文：在, 增持, 旋极信息\n",
      "上下文特征：<eos>, 中邮, 战略\n",
      "上下文特征：中邮, 战略, 新兴产业\n",
      "上下文特征：战略, 新兴产业, 一直\n",
      "上下文特征：新兴产业, 一直, 在\n",
      "上下文特征：一直, 在, 增持\n",
      "上下文特征：在, 增持, 旋极信息\n",
      "上下文特征：增持, 旋极信息, 、\n",
      "上下文特征：旋极信息, 、, 汉鼎股份\n",
      "上下文特征：、, 汉鼎股份, 以及\n",
      "上下文特征：汉鼎股份, 以及, 国瓷新材\n",
      "上下文特征：以及, 国瓷新材, <eos>\n",
      "上下文特征：国瓷新材, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:中邮, 战略, 新兴产业, 一直, 在, 增持, 旋极信息, 、, 汉鼎股份, 以及, 国瓷新材, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, n, nz, d, p, v, ni, wp, ni, c, ni, *, *, *, *, *, *, *, *, *\n",
      "触发词:增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持, 增持\n",
      "候选词:国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材, 国瓷新材\n",
      "事件类型：[0, 0, 0, 0, 1, 0, 0, 0, 0]\n",
      "角色类别:[0, 0, 1, 0, 0, 0]\n",
      "候选词位置向量：[-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
      "触发词位置向量:[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]\n",
      "候选词的上下文：以及, 国瓷新材, <eos>\n",
      "触发词的上下文：在, 增持, 旋极信息\n",
      "上下文特征：<eos>, 中邮, 战略\n",
      "上下文特征：中邮, 战略, 新兴产业\n",
      "上下文特征：战略, 新兴产业, 一直\n",
      "上下文特征：新兴产业, 一直, 在\n",
      "上下文特征：一直, 在, 增持\n",
      "上下文特征：在, 增持, 旋极信息\n",
      "上下文特征：增持, 旋极信息, 、\n",
      "上下文特征：旋极信息, 、, 汉鼎股份\n",
      "上下文特征：、, 汉鼎股份, 以及\n",
      "上下文特征：汉鼎股份, 以及, 国瓷新材\n",
      "上下文特征：以及, 国瓷新材, <eos>\n",
      "上下文特征：国瓷新材, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "原始句子:方正证券, 、, 山西证券, 先后, 封, 上, 涨停, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>, <eos>\n",
      "词性:ni, wp, ni, d, q, nd, nz, *, *, *, *, *, *, *, *, *, *, *, *, *\n",
      "触发词:涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停, 涨停\n",
      "候选词:方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券, 方正证券\n",
      "事件类型：[0, 1, 0, 0, 0, 0, 0, 0, 0]\n",
      "角色类别:[0, 1, 0, 0, 0, 0]\n",
      "候选词位置向量：[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]\n",
      "触发词位置向量:[-6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]\n",
      "候选词的上下文：<eos>, 方正证券, 、\n",
      "触发词的上下文：上, 涨停, <eos>\n",
      "上下文特征：<eos>, 方正证券, 、\n",
      "上下文特征：方正证券, 、, 山西证券\n",
      "上下文特征：、, 山西证券, 先后\n",
      "上下文特征：山西证券, 先后, 封\n",
      "上下文特征：先后, 封, 上\n",
      "上下文特征：封, 上, 涨停\n",
      "上下文特征：上, 涨停, <eos>\n",
      "上下文特征：涨停, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n",
      "上下文特征：<eos>, <eos>, <eos>\n"
     ]
    }
   ],
   "source": [
    "# coding=utf-8\n",
    "from collections import namedtuple\n",
    "import numpy as np\n",
    "import cPickle\n",
    "import os\n",
    "import time\n",
    "from word2vec import word2vec\n",
    "\n",
    "\"\"\"\n",
    "    中文的关系分类数据集\n",
    "    john.zhang 2016-12-15\n",
    "\"\"\"\n",
    "\n",
    "def find_candidates(items1, items2):\n",
    "    \"\"\"\n",
    "    找出满足条件的元素的下标\n",
    "    \"\"\"\n",
    "    result = []\n",
    "    for i in range(len(items1)):\n",
    "        if items1[i] in items2:\n",
    "            result.append(i)\n",
    "    return result\n",
    "\n",
    "\n",
    "def one_hot(labels, label_num):\n",
    "    \"\"\"\n",
    "    将输入数据转换为one-hot类型\n",
    "    :param labels: 一个二维的list 这里要注意因为没有加入限定条件 很容易出错\n",
    "    :param label_num: 标签数目\n",
    "    :return:\n",
    "    \"\"\"\n",
    "    result = []\n",
    "    for i in range(len(labels)):\n",
    "        one_hot_vec = [0] * label_num\n",
    "        one_hot_vec[labels[i][0]] = 1\n",
    "        result.append(one_hot_vec)\n",
    "    return result\n",
    "\n",
    "\n",
    "\"\"\"\n",
    "测试程序 已验证\n",
    "\"\"\"\n",
    "\"\"\"\n",
    "one_hot([[0],[1],[1]], 3)\n",
    "\"\"\"\n",
    "\n",
    "\n",
    "# 生成具有context信息的setence特征\n",
    "def get_context_features(x, epos_id=113, windows=3):\n",
    "    \"\"\"\n",
    "    :param x: 原始输入的整个句子\n",
    "    :param epos_id: 用于句子开头和结尾的填充部分\n",
    "    :param windows: 窗口的大小\n",
    "    :return:\n",
    "    \"\"\"\n",
    "    context = (windows - 1) / 2  # 上下文长度\n",
    "    x_pad = x\n",
    "    x_pad = [epos_id] * context + x_pad\n",
    "    x_pad = x_pad + [epos_id] * context\n",
    "    # 依据x_pad生成多少个context\n",
    "    context_w_num = len(x_pad) - windows + 1\n",
    "    sentence_fatures = []\n",
    "    # return map(lambda i:x_pad[i:i+windows] , range(context_w_num))\n",
    "    for i in range(context_w_num):\n",
    "        sentence_fatures.append(x_pad[i:i + windows])\n",
    "    return sentence_fatures\n",
    "class datasets(object):\n",
    "    def __init__(self, file='datas_ace.txt', store_path=\"ace_data_cl\", batch_size=5,\n",
    "                 max_sequence_length=20, windows=3, eval_num=50, word2vec_bin_file=\"vectors.bin\"):\n",
    "        \"\"\"\n",
    "        file： 数据集\n",
    "        store_path: 生成的数据存储的位置\n",
    "        batch_size: 匹次训练样本数目\n",
    "        max_sequence_length: 最大的长度 长度超出剔除 长度不够填充\n",
    "        windows: 上下文窗口的大小\n",
    "        eval_num: 用于测试的数据集\n",
    "        word2vec_bin_file: 预先训练得到的word2vec文件\n",
    "        \"\"\"\n",
    "        # 预先训练得到的word2vec\n",
    "        word2vec_c = word2vec(word2vec_bin_file)\n",
    "        self.embedding_size = word2vec_c.embedding_size\n",
    "        self.word2vec = word2vec_c.word2vec\n",
    "        all_words = set()  # 训练集中出现的所有的词\n",
    "        all_pos_taggings = set()  # 训练集中出现的所有词性\n",
    "        all_labels_event = set()  # 事件类型\n",
    "        all_labels_role = set()  # 角色类型\n",
    "        all_marks = set()  # 人工标注词的事件标记\n",
    "        data_model = namedtuple((\"data\"),\n",
    "                                ['words', 'pos_taggings', 'marks', 'label_event', 'label_role'])  # 词 词性 标记 事件类别\n",
    "        instances = []  # 实例\n",
    "        words = []  # 词\n",
    "        pos_taggings = []  # 词性\n",
    "        marks = []  # 标签\n",
    "        label_event = []  # 事件类型\n",
    "        label_role = []  # 事件角色\n",
    "        with open(file, 'r') as f:\n",
    "            lines = f.readlines()\n",
    "        id = 1\n",
    "        for line in lines:\n",
    "            if id == 1:\n",
    "                words_natures_line = line.strip().split(', ')\n",
    "                for word_nature in words_natures_line:\n",
    "                    # \"//wp\" 这种情况比较特殊\n",
    "                    if \"//wp\" == word_nature:\n",
    "                        word_nature = [\"/\", \"wp\"]\n",
    "                        words.append(word_nature[0])  # 记录当前实例的词\n",
    "                        pos_taggings.append(word_nature[1])  # 记录当前实例的词性\n",
    "                        all_words.add(word_nature[0])  # 记录训练集当中出现的所有词\n",
    "                        all_pos_taggings.add(word_nature[1])  # 记录训练集当中出现的所有词性\n",
    "                    else:\n",
    "                        word_nature = word_nature.split(\"/\")\n",
    "                        words.append(word_nature[0])  # 记录当前实例的词\n",
    "                        pos_taggings.append(word_nature[1])  # 记录当前实例的词性\n",
    "                        all_words.add(word_nature[0])  # 记录训练集当中出现的所有词\n",
    "                        all_pos_taggings.add(word_nature[1])  # 记录训练集当中出现的所有词性\n",
    "            if id == 2:\n",
    "                words_marks_line = line.strip().split(', ')\n",
    "                for word_mark in words_marks_line:\n",
    "                    # if word_mark.__contains__('O'):\n",
    "                    #     print line\n",
    "                    # \"//A\" 这种情况比较特殊\n",
    "                    if \"//A\" == word_mark:\n",
    "                        word_mark = [\"/\", \"A\"]\n",
    "                        marks.append(word_mark[1])  # 记录当前实例的标注信息\n",
    "                        all_marks.add(word_mark[1])  # 记录训练集中所有标注信息\n",
    "                    else:\n",
    "                        word_mark = word_mark.split(\"/\")\n",
    "                        marks.append(word_mark[1])  # 记录当前实例的标注信息\n",
    "                        all_marks.add(word_mark[1])  # 记录训练集中所有标注信息\n",
    "            if id == 3:\n",
    "                label_line = line.strip().split(\"-\")\n",
    "                all_labels_event.add(int(label_line[0]))  # 事件类别\n",
    "                label_event.append(int(label_line[0]))  # 记录当前实例的事件类型\n",
    "                all_labels_role.add(int(label_line[1]))  # 角色类型\n",
    "\n",
    "                # 记录当前实例的角色类型\n",
    "                label_role.append(int(label_line[1]))\n",
    "            if id == 4:\n",
    "                # 置零\n",
    "                id = 1\n",
    "                #                 print \"words_length:{}, pos_length:{}, marks_length:{}\".format(len(words),len(pos_taggings),len(marks))\n",
    "                assert len(words) == len(pos_taggings) == len(marks)  # 判定数目相等\n",
    "                # 长度超出最大距离\n",
    "                if len(words) <= max_sequence_length:  # 超出最大长度的不记录\n",
    "                    instances.append(\n",
    "                        data_model(words=words, pos_taggings=pos_taggings, marks=marks, label_event=label_event,\n",
    "                                   label_role=label_role))\n",
    "                # 清空\n",
    "                words = []  # 词\n",
    "                pos_taggings = []  # 词性\n",
    "                marks = []  # 人工标注\n",
    "                label_event = []  # 事件类型\n",
    "                label_role = []  # 角色类型\n",
    "                continue\n",
    "            id += 1\n",
    "        all_words.add('<eos>')  # 添加一个填充无效字符\n",
    "        all_pos_taggings.add('*')  # 添加一个特殊的词性\n",
    "        words_size = len(all_words)  # 数据集中词的数目\n",
    "        word_id = dict(zip(all_words, range(words_size)))  # 词_id 词典\n",
    "        #         for t in word_id.items():\n",
    "        #             print \"{},{}\".format(t[0],t[1])\n",
    "        pos_taggings_size = len(all_pos_taggings)  # 数据集中词的词性数目\n",
    "        #         print \", \".join(all_pos_taggings)\n",
    "        #         print all_labels_event\n",
    "        #         print all_labels_role\n",
    "        pos_taggings_id = dict(zip(all_pos_taggings, range(pos_taggings_size)))  # 词性_id\n",
    "\n",
    "        labels_event_size = len(all_labels_event)  # 数据集中事件的所有事件类别数目\n",
    "        labels_role_size = len(all_labels_role)  # 数据集中角色类别数目\n",
    "\n",
    "        mark_size = len(all_marks)  # 数据集中出现过的人工标记数目\n",
    "        mark_id = dict(zip(all_marks, range(mark_size)))  # 人工标注_id 这个用不到\n",
    "\n",
    "        self.windows = windows  # 上下文窗口\n",
    "        self.batch_size = batch_size  # 匹次训练的实例数目\n",
    "        self.max_sequence_length = max_sequence_length  # 序列最大的长度\n",
    "\n",
    "        self.all_words = list(all_words)  # 训练集中出现的所有词\n",
    "        self.all_pos_taggings = list(all_pos_taggings)  # 训练集中出现的所有词性\n",
    "        self.all_marks = list(all_marks)  # 训练集中出现的所有人工标记\n",
    "        self.all_labels_event = list(all_labels_event)  # 训练集中出现的所有事件标签\n",
    "        self.all_labels_role = list(all_labels_role)\n",
    "        self.words_size = words_size  # 词数目\n",
    "        self.pos_taggings_size = pos_taggings_size  # 词性数目\n",
    "        self.labels_event_size = labels_event_size  # 事件数目\n",
    "        self.labels_role_size = labels_role_size  # 角色数目\n",
    "\n",
    "        self.mark_size = mark_size  # 人工标识数目\n",
    "\n",
    "        self.word_id = word_id  # 词_id 词典\n",
    "        self.pos_taggings_id = pos_taggings_id  # 词性_id\n",
    "        self.mark_id = mark_id  # 标记_id\n",
    "\n",
    "        # 留出一部分样本用于测试集  将instance一分为二\n",
    "        self.eval_num = eval_num\n",
    "        self.eval_instances = instances[-eval_num:]\n",
    "\n",
    "        instances = instances[0:-eval_num]\n",
    "        self.instances_size = len(instances)  # 实例数目\n",
    "        self.instances = instances  # 实例\n",
    "        self.batch_nums = self.instances_size // self.batch_size  # 每一次epoch需要的batch_nums\n",
    "        self.index = np.arange(self.instances_size)  # 每一个instance对应的id\n",
    "        self.point = 0  # 用于记录当前实例位置\n",
    "\n",
    "        # 判断文件是否存在\n",
    "        if not os.path.exists(store_path):\n",
    "            os.mkdir(store_path)\n",
    "        # 将生成的数据存储到本地文件\n",
    "        with open(\"{}/words\".format(store_path), 'w') as f:\n",
    "            cPickle.dump(self.all_words, f)\n",
    "        with open(\"{}/all_pos_taggings\".format(store_path), 'w') as f:\n",
    "            cPickle.dump(self.all_pos_taggings, f)\n",
    "        with open(\"{}/all_labels_event\".format(store_path), 'w') as f:\n",
    "            cPickle.dump(self.all_labels_event, f)\n",
    "        with open(\"{}/all_labels_role\".format(store_path), 'w') as f:\n",
    "            cPickle.dump(self.all_labels_role, f)\n",
    "        with open(\"{}/word_id\".format(store_path), 'w') as f:\n",
    "            cPickle.dump(self.word_id, f)\n",
    "        with open(\"{}/pos_taggings_id\".format(store_path), 'w') as f:\n",
    "            cPickle.dump(self.pos_taggings_id, f)\n",
    "        with open(\"{}/mark_id\".format(store_path), 'w') as f:\n",
    "            cPickle.dump(self.mark_id, f)\n",
    "\n",
    "    # 对数据集进行shuffle操作\n",
    "    def shuffle(self):\n",
    "        np.random.shuffle(self.index)\n",
    "        self.point = 0\n",
    "\n",
    "    # 获取匹次数据\n",
    "    def next_batch(self):\n",
    "        start = self.point  # 本次batch\n",
    "        self.point = self.point + self.batch_size\n",
    "        if self.point > self.instances_size:  # 一次epoch完成 实例重新shuffle\n",
    "            self.shuffle()\n",
    "            start = 0\n",
    "            self.point = self.point + self.batch_size\n",
    "        end = self.point\n",
    "        batch_instances = map(lambda x: self.instances[x], self.index[start:end])\n",
    "        return batch_instances\n",
    "\n",
    "    # 转换成神经网络能够识别的\n",
    "    def next_cnn_data(self):\n",
    "        batch_instances = self.next_batch()\n",
    "        pos_tag = []  # 词性标注\n",
    "        y_event = []  # 事件标签\n",
    "        y_role = []  # 角色标签\n",
    "        x = []  # 事件句 id\n",
    "        t = []  # 触发词 id\n",
    "        c = []  # 候选词 id\n",
    "        \n",
    "        x_w2v = []  # 事件句的 word2vec\n",
    "        t_w2v = []  # 触发词的 word2vec\n",
    "        c_w2v = []  # 候选词的 word2vec\n",
    "        \n",
    "        pos_c = []  # 候选词位置向量\n",
    "        pos_t = []  # 触发词位置向量\n",
    "        eos_id = self.word_id['<eos>']  # 获取填充词的id\n",
    "        # 候选词上下文窗口\n",
    "        c_context = []\n",
    "        # 触发词上下文窗口\n",
    "        t_context = []\n",
    "        # 根据当前词选出具有context的上下文信息 统一用词的id表示\n",
    "        # 更多信息请关注：Relation Classification via Convolutional Deep Neural Network 论文当中叫做 sentence features\n",
    "        sentences_fatures = []\n",
    "        # 生成数据 标记0和1 将词用词id表示 'words', 'pos_taggings', 'marks', 'label'\n",
    "        for instance in batch_instances:\n",
    "            words = instance.words\n",
    "            pos_taggings = instance.pos_taggings\n",
    "            marks = instance.marks\n",
    "            # 'label_event', 'label_role'\n",
    "            label_event = instance.label_event\n",
    "            label_role = instance.label_role\n",
    "            #             print \", \".join(words)\n",
    "            # 找出当前句子的候选词下标 这里强制规定一个句子只能有一个候选词\n",
    "            index_candidates = find_candidates(marks, ['B'])\n",
    "            #             print \"index_candidate:{}\".format(index_candidates)\n",
    "            #             print \", \".join(words)\n",
    "            assert (len(index_candidates)) == 1\n",
    "            # 找出当前句子的触发词下标 这里强制规定一个句子只能有一个触发词\n",
    "            index_triggers = find_candidates(marks, ['T'])  # 找出当前句子的触发词的下标id\n",
    "            #             print \"index_triggers:{}\".format(index_triggers)\n",
    "            assert (len(index_triggers)) == 1\n",
    "            y_event.append(label_event)  # 事件类别\n",
    "            y_role.append(label_role)\n",
    "            # 长度不够 人工标注标签填充\n",
    "            marks = marks + ['A'] * (self.max_sequence_length - len(marks))\n",
    "            #             print marks\n",
    "            # 长度不够 单词填充\n",
    "            words = words + ['<eos>'] * (self.max_sequence_length - len(words))\n",
    "            #             print \", \".join(words)\n",
    "            # 长度不够 词性填充\n",
    "            pos_taggings = pos_taggings + ['*'] * (self.max_sequence_length - len(pos_taggings))\n",
    "            # 添加预先训练的word2vec数据 生成sentence features\n",
    "            # 这里采用的是事先创建一个向量 然后在相应位置插入合适的数据\n",
    "            x_w2c_s = np.zeros(shape=(self.max_sequence_length, self.embedding_size))\n",
    "            for i in range(self.max_sequence_length):\n",
    "                w_s = words[i]  # 当前词\n",
    "                if w_s in self.word2vec:  # word2vec训练集中存在该词\n",
    "                    x_w2c_s[i] = self.word2vec[w_s]\n",
    "                else:\n",
    "                    continue  # 如果不存在就直接用0表示\n",
    "            x_w2v.append(x_w2c_s)\n",
    "            # 词性转换为词性id\n",
    "            pos_taggings = map(lambda x: self.pos_taggings_id[x], pos_taggings)\n",
    "            pos_tag.append(pos_taggings)\n",
    "            # 将当前句子的词转换为词的id\n",
    "            index_words = map(lambda x: self.word_id[x], words)\n",
    "            # x 就是词向量组成的句子特征\n",
    "            x.append(index_words)\n",
    "            sentence_fatures = get_context_features(index_words, epos_id=eos_id, windows=self.windows)\n",
    "            # 由每一个句子当中的词的上下文组成的词组成\n",
    "            sentences_fatures.append(sentence_fatures)\n",
    "            # 依据候选词在句子当中的位置 选取候选词的context\n",
    "            c_context.append(sentence_fatures[index_candidates[0]])\n",
    "            c_contexe_s_ws = map(lambda x:self.all_words[x], sentence_fatures[index_candidates[0]])\n",
    "#             print \", \".join(c_contexe_s_ws)\n",
    "            # 根据候选词 选取候选词的context的word2vec特征\n",
    "            c_w2v_s = np.zeros(shape=(self.windows, self.embedding_size))\n",
    "            for i in range(self.windows):\n",
    "                w_s = c_contexe_s_ws[i]  # 当前词\n",
    "                if w_s in self.word2vec:   # word2vec训练集中存在该词\n",
    "                    c_w2v_s[i] = self.word2vec[w_s]\n",
    "                else:\n",
    "                    continue  # 如果不存在就直接用0表示\n",
    "            c_w2v.append(c_w2v_s)\n",
    "            # 依据触发词在句子当中的位置 选取触发词的context\n",
    "            t_context.append(sentence_fatures[index_triggers[0]])\n",
    "            # 根据触发词 选取触发词的context的word2vec特征\n",
    "            t_contexe_s_ws = map(lambda x:self.all_words[x], sentence_fatures[index_triggers[0]])\n",
    "#             print \"|\".join(t_contexe_s_ws)\n",
    "            t_w2v_s = np.zeros(shape=(self.windows, self.embedding_size))\n",
    "            for i in range(self.windows):\n",
    "                w_s = t_contexe_s_ws[i]\n",
    "                if w_s in self.word2vec:\n",
    "                    t_w2v_s[i] = self.word2vec[w_s]\n",
    "                else:\n",
    "                    continue\n",
    "            t_w2v.append(t_w2v_s)\n",
    "            # 候选词位置向量\n",
    "            pos_candidate = range(-index_candidates[0], 0) + range(0, self.max_sequence_length - index_candidates[0])\n",
    "            pos_c.append(pos_candidate)\n",
    "            # 触发词位置向量\n",
    "            pos_trigger = range(-index_triggers[0], 0) + range(0, self.max_sequence_length - index_triggers[0])\n",
    "            pos_t.append(pos_trigger)\n",
    "            # 根据句子当中触发词的下标id找出其在词表当中的位置 并进行填充\n",
    "            t.append([index_words[index_triggers[0]]] * self.max_sequence_length)\n",
    "            # 根据句子当中候选词的下标id找出其在词表当中的位置 并进行填充\n",
    "            c.append([index_words[index_candidates[0]]] * self.max_sequence_length)\n",
    "            # 确定长度是否一致\n",
    "            assert len(words) == len(marks) == len(pos_taggings) == len(index_words) == len(sentence_fatures) == len(\n",
    "                pos_candidate) == len(pos_trigger)\n",
    "        assert len(sentences_fatures) == len(y_event) == len(y_role) == len(x) == len(t) == len(c) == len(pos_c) == len(\n",
    "            pos_t) == len(\n",
    "            pos_tag) == len(x_w2v) == len(c_w2v) == len(t_w2v)\n",
    "        # 记录触发词和候选词所在句子当中的位置 并且生成触发词位置矩阵和候选词位置矩阵\n",
    "        # x:(词的id) t:触发词(词的id) c:候选词(词的id) y_event:事件的类别(类别id) y_role:角色的类别 pos_c:候选词位置向量 pos_t: 触发词位置向量\n",
    "        # c_context 候选词的上下文信息 t_context 触发词的上下文信息  x_w2v 句子的word2vec特征 t_w2v 触发词的word2vec特征 c_w2v 候选词的word2vec特征\n",
    "        return x, t, c, one_hot(y_event, self.labels_event_size), one_hot(y_role,\\\n",
    "                            self.labels_role_size), pos_c, pos_t, sentences_fatures, c_context, t_context, pos_tag,\\\n",
    "                            np.array(x_w2v), np.array(t_w2v), np.array(c_w2v)\n",
    "\n",
    "\n",
    "# 用于测试的部分数据集\n",
    "    def eval_cnn_data(self):\n",
    "        batch_instances = self.eval_instances\n",
    "        pos_tag = []  # 词性标注\n",
    "        y_event = []  # 事件标签\n",
    "        y_role = []  # 角色标签\n",
    "        x = []  # 事件句 id\n",
    "        t = []  # 触发词 id\n",
    "        c = []  # 候选词 id\n",
    "        \n",
    "        x_w2v = []  # 事件句的 word2vec\n",
    "        t_w2v = []  # 触发词的 word2vec\n",
    "        c_w2v = []  # 候选词的 word2vec\n",
    "        \n",
    "        pos_c = []  # 候选词位置向量\n",
    "        pos_t = []  # 触发词位置向量\n",
    "        eos_id = self.word_id['<eos>']  # 获取填充词的id\n",
    "        # 候选词上下文窗口\n",
    "        c_context = []\n",
    "        # 触发词上下文窗口\n",
    "        t_context = []\n",
    "        # 根据当前词选出具有context的上下文信息 统一用词的id表示\n",
    "        # 更多信息请关注：Relation Classification via Convolutional Deep Neural Network 论文当中叫做 sentence features\n",
    "        sentences_fatures = []\n",
    "        # 生成数据 标记0和1 将词用词id表示 'words', 'pos_taggings', 'marks', 'label'\n",
    "        for instance in batch_instances:\n",
    "            words = instance.words\n",
    "            pos_taggings = instance.pos_taggings\n",
    "            marks = instance.marks\n",
    "            # 'label_event', 'label_role'\n",
    "            label_event = instance.label_event\n",
    "            label_role = instance.label_role\n",
    "            #             print \", \".join(words)\n",
    "            # 找出当前句子的候选词下标 这里强制规定一个句子只能有一个候选词\n",
    "            index_candidates = find_candidates(marks, ['B'])\n",
    "            #             print \"index_candidate:{}\".format(index_candidates)\n",
    "            #             print \", \".join(words)\n",
    "            assert (len(index_candidates)) == 1\n",
    "            # 找出当前句子的触发词下标 这里强制规定一个句子只能有一个触发词\n",
    "            index_triggers = find_candidates(marks, ['T'])  # 找出当前句子的触发词的下标id\n",
    "            #             print \"index_triggers:{}\".format(index_triggers)\n",
    "            assert (len(index_triggers)) == 1\n",
    "            y_event.append(label_event)  # 事件类别\n",
    "            y_role.append(label_role)\n",
    "            # 长度不够 人工标注标签填充\n",
    "            marks = marks + ['A'] * (self.max_sequence_length - len(marks))\n",
    "            #             print marks\n",
    "            # 长度不够 单词填充\n",
    "            words = words + ['<eos>'] * (self.max_sequence_length - len(words))\n",
    "            #             print \", \".join(words)\n",
    "            # 长度不够 词性填充\n",
    "            pos_taggings = pos_taggings + ['*'] * (self.max_sequence_length - len(pos_taggings))\n",
    "            # 添加预先训练的word2vec数据 生成sentence features\n",
    "            # 这里采用的是事先创建一个向量 然后在相应位置插入合适的数据\n",
    "            x_w2c_s = np.zeros(shape=(self.max_sequence_length, self.embedding_size))\n",
    "            for i in range(self.max_sequence_length):\n",
    "                w_s = words[i]  # 当前词\n",
    "                if w_s in self.word2vec:  # word2vec训练集中存在该词\n",
    "                    x_w2c_s[i] = self.word2vec[w_s]\n",
    "                else:\n",
    "                    continue  # 如果不存在就直接用0表示\n",
    "            x_w2v.append(x_w2c_s)\n",
    "            # 词性转换为词性id\n",
    "            pos_taggings = map(lambda x: self.pos_taggings_id[x], pos_taggings)\n",
    "            pos_tag.append(pos_taggings)\n",
    "            # 将当前句子的词转换为词的id\n",
    "            index_words = map(lambda x: self.word_id[x], words)\n",
    "            # x 就是词向量组成的句子特征\n",
    "            x.append(index_words)\n",
    "            sentence_fatures = get_context_features(index_words, epos_id=eos_id, windows=self.windows)\n",
    "            # 由每一个句子当中的词的上下文组成的词组成\n",
    "            sentences_fatures.append(sentence_fatures)\n",
    "            # 依据候选词在句子当中的位置 选取候选词的context\n",
    "            c_context.append(sentence_fatures[index_candidates[0]])\n",
    "            c_contexe_s_ws = map(lambda x:self.all_words[x], sentence_fatures[index_candidates[0]])\n",
    "#             print \", \".join(c_contexe_s_ws)\n",
    "            # 根据候选词 选取候选词的context的word2vec特征\n",
    "            c_w2v_s = np.zeros(shape=(self.windows, self.embedding_size))\n",
    "            for i in range(self.windows):\n",
    "                w_s = c_contexe_s_ws[i]  # 当前词\n",
    "                if w_s in self.word2vec:   # word2vec训练集中存在该词\n",
    "                    c_w2v_s[i] = self.word2vec[w_s]\n",
    "                else:\n",
    "                    continue  # 如果不存在就直接用0表示\n",
    "            c_w2v.append(c_w2v_s)\n",
    "            # 依据触发词在句子当中的位置 选取触发词的context\n",
    "            t_context.append(sentence_fatures[index_triggers[0]])\n",
    "            # 根据触发词 选取触发词的context的word2vec特征\n",
    "            t_contexe_s_ws = map(lambda x:self.all_words[x], sentence_fatures[index_triggers[0]])\n",
    "#             print \"|\".join(t_contexe_s_ws)\n",
    "            t_w2v_s = np.zeros(shape=(self.windows, self.embedding_size))\n",
    "            for i in range(self.windows):\n",
    "                w_s = t_contexe_s_ws[i]\n",
    "                if w_s in self.word2vec:  # word2vec训练集中存在该词\n",
    "                    t_w2v_s[i] = self.word2vec[w_s]\n",
    "                else:\n",
    "                    continue  # 如果不存在就直接用0表示\n",
    "            t_w2v.append(t_w2v_s)\n",
    "            # 候选词位置向量\n",
    "            pos_candidate = range(-index_candidates[0], 0) + range(0, self.max_sequence_length - index_candidates[0])\n",
    "            pos_c.append(pos_candidate)\n",
    "            # 触发词位置向量\n",
    "            pos_trigger = range(-index_triggers[0], 0) + range(0, self.max_sequence_length - index_triggers[0])\n",
    "            pos_t.append(pos_trigger)\n",
    "            # 根据句子当中触发词的下标id找出其在词表当中的位置 并进行填充\n",
    "            t.append([index_words[index_triggers[0]]] * self.max_sequence_length)\n",
    "            # 根据句子当中候选词的下标id找出其在词表当中的位置 并进行填充\n",
    "            c.append([index_words[index_candidates[0]]] * self.max_sequence_length)\n",
    "            # 确定长度是否一致\n",
    "            assert len(words) == len(marks) == len(pos_taggings) == len(index_words) == len(sentence_fatures) == len(\n",
    "                pos_candidate) == len(pos_trigger)\n",
    "        assert len(sentences_fatures) == len(y_event) == len(y_role) == len(x) == len(t) == len(c) == len(pos_c) == len(\n",
    "            pos_t) == len(\n",
    "            pos_tag) == len(x_w2v) == len(c_w2v) == len(t_w2v)\n",
    "        # 记录触发词和候选词所在句子当中的位置 并且生成触发词位置矩阵和候选词位置矩阵\n",
    "        # x:(词的id) t:触发词(词的id) c:候选词(词的id) y_event:事件的类别(类别id) y_role:角色的类别 pos_c:候选词位置向量 pos_t: 触发词位置向量\n",
    "        # c_context 候选词的上下文信息 t_context 触发词的上下文信息  x_w2v 句子的word2vec特征 t_w2v 触发词的word2vec特征 c_w2v 候选词的word2vec特征\n",
    "        return x, t, c, one_hot(y_event, self.labels_event_size), one_hot(y_role,\\\n",
    "                            self.labels_role_size), pos_c, pos_t, sentences_fatures, c_context, t_context, pos_tag,\\\n",
    "                            np.array(x_w2v), np.array(t_w2v), np.array(c_w2v)\n",
    "\n",
    "\"\"\"\n",
    "测试代码 john.zhang 2016-12-15 已验证 正确\n",
    "\"\"\"\n",
    "\n",
    "datas = datasets()\n",
    "print datas.all_marks\n",
    "x, t, c, y_event, y_role ,pos_c, pos_t, sentences_fatures, c_context, t_context, pos_tag, x_w2c, t_w2v, c_w2v = datas.eval_cnn_data()\n",
    "for i in range(len(x)):\n",
    "    print \"原始句子:{}\".format(\", \".join(map( lambda x: datas.all_words[x], x[i])))\n",
    "    print \"词性:{}\".format(\", \".join(map(lambda x: datas.all_pos_taggings[x], pos_tag[i])))\n",
    "    print \"触发词:{}\".format(\", \".join(map(lambda x: datas. all_words[x],t[i])))\n",
    "    print \"候选词:{}\".format(\", \".join(map(lambda x: datas. all_words[x],c[i])))\n",
    "    print \"事件类型：{}\".format(y_event[i])\n",
    "    print \"角色类别:{}\".format(y_role[i])\n",
    "    print \"候选词位置向量：{}\".format(pos_c[i])\n",
    "    print \"触发词位置向量:{}\".format(pos_t[i])\n",
    "    print \"候选词的上下文：{}\".format(\", \".join(map(lambda x:datas.all_words[x],c_context[i])))\n",
    "    print \"触发词的上下文：{}\".format(\", \".join(map(lambda x:datas.all_words[x],t_context[i])))\n",
    "    context_words = map(lambda contexts: map(lambda x: datas.all_words[x], contexts) ,sentences_fatures[i])\n",
    "    for context_word in context_words:\n",
    "        print \"上下文特征：{}\".format( \", \".join( context_word ) )"
   ]
  },
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   "source": [
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   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    ""
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