senseEmbedd: Learning sense embeddings for word similarity
report
for a detailed overview please refer to thecode folder
Code structure inside- preprocess.py
- preprocessing of the Eurosense corpus
- grid_search.py
- Grid search of parameter for the best models, and also training of the best one
- gridSearchVisulisation.py
- visualization of the grid search performance and some other statistics
- .py version of gridSearch_visualisation.ipynb
- tsne.py
- TSNE visualization plots
- .py version of tsne.ipynb