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Automatically Linking Lexical Resources with Word Sense Embedding Models
Automatically learnt word sense embeddings are developed as an attempt to refine the capabilities of coarse word embeddings.
Training Word Sense Embeddings With Lexicon-based Regularization
We propose to improve word sense embeddings by enriching an automatic corpus-based method with lexicographic data.
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