2018年度人工知能学会全国大会(第32回)

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[4Pin1] インタラクティブ(2)

2018年6月8日(金) 09:00 〜 10:40 P会場 (4F エメラルドロビー)

09:00 〜 10:40

[4Pin1-31] Analogy comprehension between psychological experiments and word embedding models

〇Asakawa Shin1 (1. Tokyo Women's Cristian university)

キーワード:word embedding (vector space models)、analogy、comprehension

Word embedding models such as word2vec (Mikolov,2013) and GloVe (Pennington et al.2014) became to be widely recognized, while similarity judgment of analogy and comprehension could be described on a Euclidian space (Rumelhart and Abrahamson, 1973). We tried to compare between word embedding models and human performances. Despite that several models were proposed to deal with adjusting each domain in order to improve their performance, it has still remained unsolved the relation between human judgment and understanding of analogy and their performance of word embedding models. We investigated the relationship between them. Our results suggest that human understanding of analogy might be understood in terms of word embedding spaces. We discussed the further possibilities to understand the semantic space in human in these models.