Word Sense Embeddings
The task is to implement Sense Embeddings for Word and Relational Similarity. I implemented a CBOW model using word2vec.
Results
Spearman's correlation = 0.52
Compatibility
Python3.X, Gensim
Sense Embeddings
The sense embedddings can be found in https://drive.google.com/open?id=1vi_AcGDJhKWtCdbgXme4DXyMKTj-2my0
Notes
In this project, two datasets were merged for training: EuroSense from http://lcl.uniroma1.it/eurosense/ And Semantically Enriched Wikipedia from http://lcl.uniroma1.it/sew/ .
This dataset was used for testing: WordSimilarity-353 from http://www.cs.technion.ac.il/~gabr/resources/data/wordsim353/ .