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Extracting Semantic Representations from Word Co-occurrence Statistics: Polysemes and Homonyms

2026-05-14

Abstract excerpt

<p>Vectors of word co-occurrence statistics from large corpora of natural language have previously been shown to provide good representations of lexical semantics and are now widely used resources in numerous language applications and models of human behaviour. This paper explores the open question of how the blending of multiple word meanings associated with polysemy and homonymy affect the quality of those corpu...

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Literature Corpus work
f0bf6351-65fc-5545-875d-7fcddb4daa6e
DOI
10.31234/osf.io/yf3v7_v1
Open publication

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Extracting Semantic Representations from Word Co-occurrence Statistics: Polysemes and HomonymsDOI 10.31234/osf.io/yf3v7_v1
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