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) |
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NLC2021-39 |
Conference Information |
Committee |
NLC |
Conference Date |
2022-03-07 - 2022-03-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
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(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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Natural Language Inference |
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Commonsense Reasoning |
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Text Generation |
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1st Author's Name |
Haruka Enomoto |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
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Kazutaka Shimada |
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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 |
6 |
Date of Issue |
2022-02-28 (NLC) |
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