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Enriching Word Sense Embeddings with Translational Context
Vector-space models derived from corpora are an effective way to learn a representa- tion of word meaning directly from data, and these models have many uses in prac- tical applications. …...
From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources
AbstractDistributional word representations (often referred to as word embeddings) are omnipresent in modern NLP. Early work has focused on building representations for word types, and recent studies show that lemmatization …...