Confusion2Vec: towards enriching vector space word representations with representational ambiguities
Confusion2Vec: towards enriching vector space word representations with representational ambiguities
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 …