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Contextual Text Understanding in Distributional Semantic Space

ACM International Conference on Information and Knowledge Management, (2015)

Cited by: 43|Views115
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Abstract

Representing discrete words in a continuous vector space turns out to be useful for natural language applications related to text understanding. Meanwhile, it poses extensive challenges, one of which is due to the polysemous nature of human language. A common solution (a.k.a word sense induction) is to separate each word into multiple sen...More

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