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Presentation 2020-09-10 15:50
chiVe: Towards Industrial-strength Japanese Word Vector Resources -- Constructing and Improving Embedding with Tokenizer "Sudachi" and Ultra-large-scale Web-based Corpus "NWJC" --
Sorami Hisamoto, Takashi Yamamura, Akihiro Katsuta, Yuto Takebayashi, Kazuma Takaoka, Yoshitaka Uchida (WAP), Teruaki Oka, Masayuki Asahara (NINJAL) NLC2020-9
Abstract (in Japanese) (See Japanese page) 
(in English) Pretrained word embeddings (word vectors, distributed representations) are fundamental and important components for recent neural network based natural language processing. However, there are not many resources available for Japanese language that is useful for the practical purpose. “chiVe” is our attempt to construct useful word embedding resource, using morphological analyzer “Sudachi” that provides multi-granular tokenization results, and 10 billion words scale corpus “NWJC”. We made this resource publicly available under Apache 2.0 license that allows commercial usage ( https://github.com/WorksApplications/chiVe ). In this article, we describe the overview of the project, and introduce our ongoing work to further improve the resources which includes handling Out-of-Vocabulary words, utilizing the synonym resources, and adapting to specific domains.
Keyword (in Japanese) (See Japanese page) 
(in English) Distributed Representation / Morphological Analysis / Out-of-Vocabulary / Synonym / Domain Adaptation / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 166, NLC2020-9, pp. 40-45, Sept. 2020.
Paper # NLC2020-9 
Date of Issue 2020-09-03 (NLC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 2020-09-10 - 2020-09-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Sixteenth Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2020-09-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) chiVe: Towards Industrial-strength Japanese Word Vector Resources 
Sub Title (in English) Constructing and Improving Embedding with Tokenizer "Sudachi" and Ultra-large-scale Web-based Corpus "NWJC" 
Keyword(1) Distributed Representation  
Keyword(2) Morphological Analysis  
Keyword(3) Out-of-Vocabulary  
Keyword(4) Synonym  
Keyword(5) Domain Adaptation  
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1st Author's Name Sorami Hisamoto  
1st Author's Affiliation Works Applications (WAP)
2nd Author's Name Takashi Yamamura  
2nd Author's Affiliation Works Applications (WAP)
3rd Author's Name Akihiro Katsuta  
3rd Author's Affiliation Works Applications (WAP)
4th Author's Name Yuto Takebayashi  
4th Author's Affiliation Works Applications (WAP)
5th Author's Name Kazuma Takaoka  
5th Author's Affiliation Works Applications (WAP)
6th Author's Name Yoshitaka Uchida  
6th Author's Affiliation Works Applications (WAP)
7th Author's Name Teruaki Oka  
7th Author's Affiliation National Institute for Japanese Language and Linguistics (NINJAL)
8th Author's Name Masayuki Asahara  
8th Author's Affiliation National Institute for Japanese Language and Linguistics (NINJAL)
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Speaker
Date Time 2020-09-10 15:50:00 
Presentation Time 25 
Registration for NLC 
Paper # IEICE-NLC2020-9 
Volume (vol) IEICE-120 
Number (no) no.166 
Page pp.40-45 
#Pages IEICE-6 
Date of Issue IEICE-NLC-2020-09-03 


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