This is a work in progress state-of-the-art WSD tool.
docker build -t kageback/wsd . && \ docker run -it --rm kageback/wsd bash -il
Or if you want to change the code from outside the container change the last command to:
docker run -it --rm -v $(pwd):/notebooks/mycode kageback/wsd bash -il
Now run the experiment inside the docker.
python train.py && \ python eval.py && \ python score.py ./tmp/result ./data/senseval2/Senseval2.key ./data/senseval2/sensemap
Recreate COOLING 2016 workshop paper result
If you are interesting in recreating the results or dive into the implementation of the specifics for this paper, please checkout branch cooling.
Distributed under Apache v2.0 License