Presentation 2021-09-16
Using GAN-BERT to Detect Unfair Sentences in Terms of Service
Takumi Kondo, Yasuhiro Ogawa, Katsuhiko Toyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Although the terms of service (ToS) tend to be skipped because of their large number of articles, some of them may be potentially unfair to users. In this paper, we propose a method for automatically detecting unfair articles in ToS so that users can check them efficiently. The previous studies used linear SVM for the automatic detection in Japanese ToS, and it performed undersampling to eliminate imbalance in the training data to improve classification performance. However, the classification performance is not satisfactory. In this paper, we use GAN-BERT, a learning model that extends BERT with semi-supervised GANs, to use a small number of labeled ToS and easily available unlabeled ToS for training, and show higher classification performance.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Terms of Service / Unfair article / GAN-BERT
Paper # NLC2021-7
Date of Issue 2021-09-09 (NLC)

Conference Information
Committee NLC
Conference Date 2021/9/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) The 18th Text Analytics Symposium
Chair Kazutaka Shimada(Kyushu Inst. of Tech.)
Vice Chair Mitsuo Yoshida(Univ. of Tsukuba) / Takeshi Kobayakawa(NHK)
Secretary Mitsuo Yoshida(Univ. of Tokyo) / Takeshi Kobayakawa(Hiroshima Univ. of Economics)
Assistant Kanjin Takahashi(Sansan) / Ko Mitsuda(NTT)

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) Using GAN-BERT to Detect Unfair Sentences in Terms of Service
Sub Title (in English)
Keyword(1) Terms of Service
Keyword(2) Unfair article
Keyword(3) GAN-BERT
1st Author's Name Takumi Kondo
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Yasuhiro Ogawa
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
3rd Author's Name Katsuhiko Toyama
3rd Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2021-09-16
Paper # NLC2021-7
Volume (vol) vol.121
Number (no) NLC-178
Page pp.pp.5-10(NLC),
#Pages 6
Date of Issue 2021-09-09 (NLC)