A Simple Approach to Learn Polysemous Word Embeddings

6 Jul 2017 Yifan Sun Nikhil Rao Weicong Ding

Many NLP applications require disambiguating polysemous words. Existing methods that learn polysemous word vector representations involve first detecting various senses and optimizing the sense-specific embeddings separately, which are invariably more involved than single sense learning methods such as word2vec... (read more)

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