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Paper Abstract and Keywords
Presentation 2022-08-04 11:30
Investigating of the sentence vector for input sentences changing in Sentence-BERT by using UMAP
Masato Izumi, Kenya Jin'no (Tokyo City Univ) CCS2022-30
Abstract (in Japanese) (See Japanese page) 
(in English) We have previously studied whether the sentence vectors, distributed representations of sentences generated by Sentence-BERT.
Sentence Vector, which is a distributed representation of sentences generated by Sentence-BERT, captures the meaning of the sentences.
The paper examines the properties of sentence vectors by using UMAP to analyze characteristics when input sentences are changed.
Keyword (in Japanese) (See Japanese page) 
(in English) Sentence-BERT / UMAP / Sentence Vector / Latent Variable / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 145, CCS2022-30, pp. 20-23, Aug. 2022.
Paper # CCS2022-30 
Date of Issue 2022-07-28 (CCS) 
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 CCS2022-30

Conference Information
Committee IN CCS  
Conference Date 2022-08-04 - 2022-08-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University(Centennial Hall) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Science, Future Network, Cloud/SDN/Virtualization, Contents Delivery/Contents Exchange, and others 
Paper Information
Registration To CCS 
Conference Code 2022-08-IN-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigating of the sentence vector for input sentences changing in Sentence-BERT by using UMAP 
Sub Title (in English)  
Keyword(1) Sentence-BERT  
Keyword(2) UMAP  
Keyword(3) Sentence Vector  
Keyword(4) Latent Variable  
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1st Author's Name Masato Izumi  
1st Author's Affiliation Tokyo City University (Tokyo City Univ)
2nd Author's Name Kenya Jin'no  
2nd Author's Affiliation Tokyo City University (Tokyo City Univ)
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Speaker Author-1 
Date Time 2022-08-04 11:30:00 
Presentation Time 20 minutes 
Registration for CCS 
Paper # CCS2022-30 
Volume (vol) vol.122 
Number (no) no.145 
Page pp.20-23 
#Pages 4 
Date of Issue 2022-07-28 (CCS) 

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