Confusion2Vec: towards enriching vector space word representations with representational ambiguities

Volume: 5, Pages: e195 - e195
Published: Jun 10, 2019
Abstract
Word vector representations are a crucial part of natural language processing (NLP) and human computer interaction. In this paper, we propose a novel word vector representation, Confusion2Vec, motivated from the human speech production and perception that encodes representational ambiguity. Humans employ both acoustic similarity cues and contextual cues to decode information and we focus on a model that incorporates both sources of information....
Paper Details
Title
Confusion2Vec: towards enriching vector space word representations with representational ambiguities
Published Date
Jun 10, 2019
Journal
Volume
5
Pages
e195 - e195
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