Authors:
Yuto Kikuchi
1
;
Kazuo Hara
1
and
Ikumi Suzuki
2
Affiliations:
1
Yamagata University, 1-4-12 Kojirakawa-machi, Yamagata City, 990-8560, Japan
;
2
Nagasaki University, 1-14 Bunkyo, Nagasaki City, 852-8521, Japan
Keyword(s):
Word2vec, Word Vector, Word Analogy Task.
Abstract:
The word2vec, developed by Mikolov et al. in 2013, is an epoch-creating method that embeds words into a vector space to capture their fine-grained meaning. However, the reliability of word2vec is inconsistent. To evaluate the reliability of word vectors, we perform Mikolov’s word analogy task, where word, word, and wordେ are provided. Under the condition that word exhibits a particular relation with word, the task involves searching the vocabulary and returning the most relevant word for wordେ for the same relation. We conduct an experiment to return negative words for verbs using word2vec for 100 typical Japanese verbs and investigate the effect of context (i.e., surrounding words) on correct or incorrect responses. It is shown that the task fails when the sense of verbs and negative relation are entangled because the semantic calculation of verb negation does not hold.