Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
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Updated
Mar 24, 2023 - Python
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Statistics and accepted paper list of NLP conferences with arXiv link
Hierarchically-Refined Label Attention Network for Sequence Labeling
[EMNLP 2019] Mixture Content Selection for Diverse Sequence Generation (Question Generation / Abstractive Summarization)
Source code for the EMNLP 2019 paper "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs"
EMNLP 2019: Generating Personalized Recipes from Historical User Preferences
Source code and datasets for EMNLP 2019 paper "Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model".
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Dialogue Knowledge Transfer Networks (DiKTNet)
Source code for the EMNLP 2019 paper "Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text" (给定科研文本如生物医药文献,联合抽取其中事实三元组、条件三元组,即对文献进行信息结构化)
Code for SMERTI for Semantic Text Exchange.
Notes on selected papers from EMNLP 2019
This is the repo for the NLP4IF workshop shared task at EMNLP 2019
uniblock, scoring and filtering corpus with Unicode block information (and more).
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