Presentation 2022-09-13
Estimation of related keywords based on distributed representation of words and semantic vector operations
Osamu Segawa, Kazuhiko Murakami,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Formerly, in a text-mining task, several methods based on distribution of words using co-occurrence in observation windows were used for estimating related keywords. However, in practical use, methods that reflect semantic context between concepts have not been sufficiently explored. In this article, we propose a method to estimate related keywords that match the input contexts. Our method utilizes distributed representations of words and “situation synthesis” by semantic vector operations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Distributed representation of words / Semantic vector / Related keyword estimation / Word2Vec / GloVe / BERT
Paper # NLC2022-4
Date of Issue 2022-09-06 (NLC)

Conference Information
Committee NLC
Conference Date 2022/9/13(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Keio Univ. Yagami Campus.
Topics (in Japanese) (See Japanese page)
Topics (in English) The 19th Text Analytics Symposium
Chair Mitsuo Yoshida(Univ. of Tsukuba)
Vice Chair Hiroki Sakaji(Univ. of Tokyo) / Takeshi Kobayakawa(NHK)
Secretary Hiroki Sakaji(NTT) / Takeshi Kobayakawa(Hiroshima Univ. of Economics)
Assistant Kanjin Takahashi(Sansan) / Yasuhiro Ogawa(Nagoya Univ.)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of related keywords based on distributed representation of words and semantic vector operations
Sub Title (in English)
Keyword(1) Distributed representation of words
Keyword(2) Semantic vector
Keyword(3) Related keyword estimation
Keyword(4) Word2Vec
Keyword(5) GloVe
Keyword(6) BERT
1st Author's Name Osamu Segawa
1st Author's Affiliation Chubu Electric Power Co., Inc.(Chubu Electric Power)
2nd Author's Name Kazuhiko Murakami
2nd Author's Affiliation Chuden CTI Co., Ltd.(Chuden CTI)
Date 2022-09-13
Paper # NLC2022-4
Volume (vol) vol.122
Number (no) NLC-180
Page pp.pp.1-4(NLC),
#Pages 4
Date of Issue 2022-09-06 (NLC)