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| Paper Abstract and Keywords | ||
| Presentation | 2022-09-13 13:45 A study on keyword extraction based on phrase-level context information acquisition Yumeto Inaoka (Faber Company), Mitsuo Yoshida (Univ. of Tsukuba)  NLC2022-5 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We study a method for extracting words and phrases that belong to the desired class (e.g. magazine name) as keywords from documents. The task is similar to Named Entity Recognition (NER) task. However, in keyword extraction, the extraction target is not limited to named entity and it collects keywords without assigning named entity labels to the named entity in document texts. Furthermore, the input is not a set of labeled documents, but a set of keywords that are examples of words and phrases belonging to the desired class. In this paper, we study a keyword extraction method based on the phrase-level context information acquisition. As a result, we found that the method can achieve high accuracy without training on large datasets. On the other hand, we demonstrated the problems such as the extracted strings that cannot be used as keywords. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Keyword extraction / Named entity recognition / n-gram / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 180, NLC2022-5, pp. 5-8, Sept. 2022. | |
| Paper # | NLC2022-5 | |
| Date of Issue | 2022-09-06 (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 | NLC2022-5 |
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| Conference Information | |
| Committee | NLC |
| Conference Date | 2022-09-13 - 2022-09-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Keio Univ. Yagami Campus. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 19th Text Analytics Symposium |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2022-09-NLC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on keyword extraction based on phrase-level context information acquisition |
| Sub Title (in English) | |
| Keyword(1) | Keyword extraction |
| Keyword(2) | Named entity recognition |
| Keyword(3) | n-gram |
| Keyword(4) | |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yumeto Inaoka |
| 1st Author's Affiliation | Faber Company Inc. (Faber Company) |
| 2nd Author's Name | Mitsuo Yoshida |
| 2nd Author's Affiliation | University of Tsukuba (Univ. of Tsukuba) |
| 3rd Author's Name | |
| 3rd Author's Affiliation | () |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2022-09-13 13:45:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2022-5 |
| Volume (vol) | vol.122 |
| Number (no) | no.180 |
| Page | pp.5-8 |
| #Pages | 4 |
| Date of Issue | 2022-09-06 (NLC) |
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