Do Multi-Sense Embeddings Improve Natural Language Understanding? Dan Jurafsky Computer Science Department Stanford University Stanford, CA 94305, USA

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Date: 2015-10-31 15:44:36 Computational linguistics Semantics Natural language processing Lexical semantics Word-sense disambiguation Word embedding Word2vec Language model Semantic similarity SemEval Embedding Artificial neural network		Do Multi-Sense Embeddings Improve Natural Language Understanding? Dan Jurafsky Computer Science Department Stanford University Stanford, CA 94305, USA Add to Reading List Source URL: nlp.stanford.edu Download Document from Source Website File Size: 156,38 KB Share Document on Facebook

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