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| Presentation | 2016-12-09 10:05 Extraction of Current Actual Status and Demand Expressions in Community Complaint Reports Yuta Sano, Tsunenori Mine (Kyushu Univ.)  AI2016-12 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Government 2.0 activities have become popular. Using the tools, anyone can share reports with other people on the Web. On the other hand, unlike telephone calls, the concreteness of a report depends on its reporter. Thus, the actual status and demand to the status may not be described clearly or either one may be miss-described in the report. To solve the problems, the discovery of incomplete reports and completion of missing information are indispensable. In this paper, we propose methods to automatically distinguish the actual status from the demand to the status. Experimental results show that an average F-score and an average accuracy score our methods achieved were 0.790 and 0.891, respectively. In addition, in our methods, RF achieved better results than SVM for both F-score and accuracy scores. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | dependency relations / empirical patterns / Government 2.0 / machine learning / pattern extraction / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 350, AI2016-12, pp. 1-6, Dec. 2016. | |
| Paper # | AI2016-12 | |
| Date of Issue | 2016-12-02 (AI) | |
| ISSN | Print edition: ISSN 0913-5685 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 | AI2016-12 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2016-12-09 - 2016-12-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2016-12-AI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extraction of Current Actual Status and Demand Expressions in Community Complaint Reports |
| Sub Title (in English) | |
| Keyword(1) | dependency relations |
| Keyword(2) | empirical patterns |
| Keyword(3) | Government 2.0 |
| Keyword(4) | machine learning |
| Keyword(5) | pattern extraction |
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| 1st Author's Name | Yuta Sano |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Tsunenori Mine |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-12-09 10:05:00 |
| Presentation Time | 25 minutes |
| Registration for | AI |
| Paper # | AI2016-12 |
| Volume (vol) | vol.116 |
| Number (no) | no.350 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2016-12-02 (AI) |
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