A tool for matching word sense embeddings with synsets of lexical resources: the method helps to make word sense embeddings interpretable.
See the website for description of the method: http://tudarmstadt-lt.github.io/vec2synset
- Clone repository:
git clone https://github.com/tudarmstadt-lt/vec2synset.git
- Install dependencies:
pip install -r requirements.txt
- Download resources into the repository (100 Mb):
cd vec2synset/data && wget http://panchenko.me/data/joint/adagram/babelnet-bow-5190.pkl
- Run a test matching (50 words):
python run.py
You should get the file with matched AdaGram and BabelNet senses similar to the one in data/voc-50.csv.match_example.csv.