June 4, 2024, 4:53 a.m. | Zhu Liu

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.00751v1 Announce Type: new
Abstract: Modern neural networks (NNs), trained on extensive raw sentence data, construct distributed representations by compressing individual words into dense, continuous, high-dimensional vectors. These representations are specifically designed to capture the varied meanings, including ambiguity, of word occurrences within context. In this thesis, our objective is to examine the efficacy of distributed representations from NNs in encoding lexical meaning. Initially, we identify four sources of ambiguity - homonymy, polysemy, semantic roles, and multifunctionality - based on …

abstract arxiv construct context continuous cs.cl data distributed modern networks neural networks nns proposal raw semantics thesis type vectors word words

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