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| Presentation | 2019-09-27 10:35 Automatic Detection of Unfair Sentences in Terms of Service Keiko Aoyama, Yasuhiro Ogawa, Takahiro Komamizu, Katsuhiko Toyama (Nagoya Univ.)  NLC2019-8 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Natural Language Processing / Terms of Service / Automatic Detection / Imbalanced Data / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 212, NLC2019-8, pp. 1-6, Sept. 2019. | |
| Paper # | NLC2019-8 | |
| Date of Issue | 2019-09-20 (NLC) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLC2019-8 |
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| Conference Information | |
| Committee | NLC IPSJ-DC |
| Conference Date | 2019-09-27 - 2019-09-28 |
| 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 |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2019-09-NLC-DC |
| Language | Japanese |
| 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 |
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| Keyword(7) | |
| Keyword(8) | |
| 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.) |
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| Speaker | Author-1 |
| Date Time | 2019-09-27 10:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2019-8 |
| Volume (vol) | vol.119 |
| Number (no) | no.212 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2019-09-20 (NLC) |
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