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Paper Abstract and Keywords
Presentation 2022-03-07 17:05
Generating the next action from sequence event pairs automatically acquired from Twitter
Haruka Enomoto, Kazutaka Shimada (Kyutech) NLC2021-39
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, natural language inference have been actively studied and it's mainly solved as a classification task. However, classification models can only select answers that are included in the given choices. Therefore, it doesn't truly solve the inference task. In this paper, we propose a method to generate the next actions from a previous action. Generally, we need a large number of training data to learn a generation model. However, there are no data for the generation task of commonsense reasoning. Therefore, we automatically collect event-sentence pairs from Twitter. and we conduct a generation experiment. We apply the extracted data to neural network-based models; seq2seq with attention and T5. One problem of this task is to evaluate the applicability of the generated sentences. In this paper, we also propose an evaluation measure based on Levenshtein distance. Through the measure, we compare the outputs from two generation methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Natural Language Inference / Commonsense Reasoning / Text Generation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 415, NLC2021-39, pp. 62-67, March 2022.
Paper # NLC2021-39 
Date of Issue 2022-02-28 (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 NLC2021-39

Conference Information
Committee NLC  
Conference Date 2022-03-07 - 2022-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Processing of Tourism, etc. 
Paper Information
Registration To NLC 
Conference Code 2022-03-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Generating the next action from sequence event pairs automatically acquired from Twitter 
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Keyword(1) Natural Language Inference  
Keyword(2) Commonsense Reasoning  
Keyword(3) Text Generation  
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1st Author's Name Haruka Enomoto  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Kazutaka Shimada  
2nd Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2022-03-07 17:05:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2021-39 
Volume (vol) vol.121 
Number (no) no.415 
Page pp.62-67 
#Pages
Date of Issue 2022-02-28 (NLC) 


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