Paper Abstract and Keywords |
Presentation |
2022-07-09 13:35
Retrieval of Similar Questions from QAbot Data based on Transformer Language Model Zihao Chen, Hisashi Handa, Kimiaki Shirahama (Kindai Univ.) ET2022-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
It has recently become possible to collect a large amount of question-answer pairs that arose in certain educational courses. However, one of the biggest difficulties to utilize such data is the lack of a retrieval system that helps a student efficiently find answers to his/her own question. This paper presents our system that takes advantage of a transformer language model which keeps breaking the state-of-the-art in various natural language processing tasks. In particular, our system uses Sentence-BERT to extract a useful feature of a question, so that questions semantically similar to the user’s one can be accurately identified through their feature matching. In addition, an important prerequisite for objective performance evaluation is a large-scale dataset containing many question-answer pairs. For this, a bot is developed on Slack to collect 1142 question-answer pairs that are individually annotated with the relevance to each of 20 queries. The experimental results on this dataset validate the effectiveness of our system based on Sentence-BERT. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Question answering / Information retrieval / Transformer / Sentence-BERT / QAbot / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 102, ET2022-9, pp. 5-11, July 2022. |
Paper # |
ET2022-9 |
Date of Issue |
2022-07-02 (ET) |
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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ET2022-9 |
Conference Information |
Committee |
ET |
Conference Date |
2022-07-09 - 2022-07-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Data Accumulation, Analysis and Practice Application of Learning History Data, etc. |
Paper Information |
Registration To |
ET |
Conference Code |
2022-07-ET |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Retrieval of Similar Questions from QAbot Data based on Transformer Language Model |
Sub Title (in English) |
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Keyword(1) |
Question answering |
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Information retrieval |
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Transformer |
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Sentence-BERT |
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QAbot |
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1st Author's Name |
Zihao Chen |
1st Author's Affiliation |
Kindai University (Kindai Univ.) |
2nd Author's Name |
Hisashi Handa |
2nd Author's Affiliation |
Kindai University (Kindai Univ.) |
3rd Author's Name |
Kimiaki Shirahama |
3rd Author's Affiliation |
Kindai University (Kindai Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-07-09 13:35:00 |
Presentation Time |
25 minutes |
Registration for |
ET |
Paper # |
ET2022-9 |
Volume (vol) |
vol.122 |
Number (no) |
no.102 |
Page |
pp.5-11 |
#Pages |
7 |
Date of Issue |
2022-07-02 (ET) |
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