Presentation 2023-03-18
Self-supervised Learning for Neural Topic Models with Variance Covariance Regularization
Kengo Hirami, Weiran Xu, Koji Eguchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NLC2022-20
Date of Issue 2023-03-11 (NLC)

Conference Information
Committee NLC / IPSJ-NL
Conference Date 2023/3/18(1days)
Place (in Japanese) (See Japanese page)
Place (in English) OIST
Topics (in Japanese) (See Japanese page)
Topics (in English) Applications of natural language processing, and etc.
Chair Mitsuo Yoshida(Univ. of Tsukuba) / 須藤 克仁(奈良先端科学技術大学院大学)
Vice Chair Hiroki Sakaji(Univ. of Tokyo) / Takeshi Kobayakawa(NHK)
Secretary Hiroki Sakaji(NTT) / Takeshi Kobayakawa(Hiroshima Univ. of Economics) / (LINE株式会社)
Assistant Kanjin Takahashi(Sansan) / Yasuhiro Ogawa(Nagoya Univ.)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Natural Language
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Self-supervised Learning for Neural Topic Models with Variance Covariance Regularization
Sub Title (in English)
Keyword(1)
1st Author's Name Kengo Hirami
1st Author's Affiliation Hiroshima University(Hiroshima Univ.)
2nd Author's Name Weiran Xu
2nd Author's Affiliation Hiroshima University(Hiroshima Univ.)
3rd Author's Name Koji Eguchi
3rd Author's Affiliation Hiroshima University(Hiroshima Univ.)
Date 2023-03-18
Paper # NLC2022-20
Volume (vol) vol.122
Number (no) NLC-449
Page pp.pp.7-11(NLC),
#Pages 5
Date of Issue 2023-03-11 (NLC)