| Presentation | 2019-09-27 Automatic Detection of Unfair Sentences in Terms of Service Keiko Aoyama, Yasuhiro Ogawa, Takahiro Komamizu, Katsuhiko Toyama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Many users skip the terms of service (ToS) since they have many sentences and take time to read. However, they may include some sentences that require attention. If users use the service without knowing them, they may get into trouble. Therefore, we examine a system that automatically detects unfair sentences from the ToS, and compare the SVM system that showed high performance in the English ToS with a random forest (RF) system. As a result of the experiment, we show the performance of the existing SVM system deteriorated for the Japanese ToS and there is a problem peculiar to the Japanese ToS. In addition, since the SVM method and the RF method show different classification tendencies, we show the possibility of their ensemble method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Natural Language Processing / Terms of Service / Automatic Detection / Imbalanced Data |
| Paper # | NLC2019-8 |
| Date of Issue | 2019-09-20 (NLC) |
| Conference Information | |
| Committee | NLC / IPSJ-DC |
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| Conference Date | 2019/9/27(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future Corporation |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The Thirteenth Text Analytics Symposium |
| Chair | Takeshi Sakaki(Hottolink) / Ryoji Akimoto(Toppan Printing) |
| Vice Chair | Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.) |
| Secretary | Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT) / (Future Univ. Hakodate) |
| Assistant | Takeshi Kobayakawa(NHK) / Hiroki Sakaji(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Document Communication |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automatic Detection of Unfair Sentences in Terms of Service |
| Sub Title (in English) | |
| Keyword(1) | Natural Language Processing |
| Keyword(2) | Terms of Service |
| Keyword(3) | Automatic Detection |
| Keyword(4) | Imbalanced Data |
| 1st Author's Name | Keiko Aoyama |
| 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 | Takahiro Komamizu |
| 3rd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 4th Author's Name | Katsuhiko Toyama |
| 4th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| Date | 2019-09-27 |
| Paper # | NLC2019-8 |
| Volume (vol) | vol.119 |
| Number (no) | NLC-212 |
| Page | pp.pp.1-6(NLC), |
| #Pages | 6 |
| Date of Issue | 2019-09-20 (NLC) |