Paper Abstract and Keywords |
Presentation |
2018-12-07 13:25
Related Term Suggestion for Bibliographic Retrieval in Informatics Michiko Yasukawa (Gunma Univ.) AI2018-26 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
To find important research papers, users need assistance with effective search clues. We propose a novel framework of related term suggestions for bibliographic retrieval in Informatics. In the search, we focused on associative relations in a database of competitive funds in Japan and a database of bibliography attributes in computer science on a worldwide basis. For enhancing the framework, we designed a text classification task, in which mappings of research descriptions and research category codes must be established. According to the experimental results, two variants of character-based seq2seq approaches showed high accuracies while pattern matching and full text search were not effective. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
information retrieval / text mining / deep learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 350, AI2018-26, pp. 5-10, Dec. 2018. |
Paper # |
AI2018-26 |
Date of Issue |
2018-11-30 (AI) |
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) |
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AI2018-26 |
Conference Information |
Committee |
AI |
Conference Date |
2018-12-07 - 2018-12-08 |
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(See Japanese page) |
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Paper Information |
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AI |
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2018-12-AI |
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English (Japanese title is available) |
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(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Related Term Suggestion for Bibliographic Retrieval in Informatics |
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information retrieval |
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text mining |
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deep learning |
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1st Author's Name |
Michiko Yasukawa |
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Gunma University (Gunma Univ.) |
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Speaker |
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Date Time |
2018-12-07 13:25:00 |
Presentation Time |
25 minutes |
Registration for |
AI |
Paper # |
AI2018-26 |
Volume (vol) |
vol.118 |
Number (no) |
no.350 |
Page |
pp.5-10 |
#Pages |
6 |
Date of Issue |
2018-11-30 (AI) |
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