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| Presentation | 2011-12-16 11:35 A Study on Efficient Searching Top-k Semantic Similar Sentences Yanhui Gu, Zhenglu Yang, Masaru Kitsuregawa (Univ. of Tokyo)  DE2011-42 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Semantic similarity measure between sentences is an important issue in many applications, such as, text mining, Web page retrieval, dialogue systems, and so forth. Although it has been explored for several decades, most of these studies focus on how to improve the effectiveness of the problem. In this paper, we address the efficiency issue, i.e., for a given sentence collection, how to efficiently discover the top-k most semantic similar sentences to the query. It is a very important issue for real applications while existing state-of-the-art strategies cannot satisfy the performance requirement of the users. We introduce a general framework to tackle the issue, in which several efficient strategies are proposed. Extensive experimental evaluations demonstrate that our approach outperforms the state-of-the-art methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | semantic similarity / query aggregation / Top-k / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 361, DE2011-42, pp. 13-18, Dec. 2011. | |
| Paper # | DE2011-42 | |
| Date of Issue | 2011-12-09 (DE) | |
| 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 | DE2011-42 |
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| Conference Information | |
| Committee | DE |
| Conference Date | 2011-12-16 - 2011-12-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Sangyo University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | DE |
| Conference Code | 2011-12-DE |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Efficient Searching Top-k Semantic Similar Sentences |
| Sub Title (in English) | |
| Keyword(1) | semantic similarity |
| Keyword(2) | query aggregation |
| Keyword(3) | Top-k |
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| 1st Author's Name | Yanhui Gu |
| 1st Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 2nd Author's Name | Zhenglu Yang |
| 2nd Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 3rd Author's Name | Masaru Kitsuregawa |
| 3rd Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2011-12-16 11:35:00 |
| Presentation Time | 25 minutes |
| Registration for | DE |
| Paper # | DE2011-42 |
| Volume (vol) | vol.111 |
| Number (no) | no.361 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2011-12-09 (DE) |
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