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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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