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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
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
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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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  
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)
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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 
Date of Issue 2022-09-06 (NLC) 

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