A Simple Approach to Learn Polysemous Word Embeddings
arXiv: Computation and Language, Volume abs/1707.01793, 2017.
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. Evaluating these methods i...More
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