| Paper Abstract and Keywords |
| Presentation |
2023-03-18 16:20
Contrastive Learning with Attention Pooling for Long Document Summarization Tsukasa Kamo, Toru Sugimoto (SIT) NLC2022-28 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Automatic summarization using neural networks has improved with the advent of pre-training models based on the Transformer. However, the Transformer’s self-attention mechanism is difficult to handle long sequence because its memory and computational efficiency depend on the square of the input length. Therefore, we propose a Transformer that can efficiently handle long sequence and tackle a long document summarization. First, we introduce two alternative attention mechanisms whose memory and computational efficiency depend linearly on the input length. We also train the alternative attention mechanisms to extract important information from an input text using contrastive learning. Through evaluation experiments, we will clarify how the alternative attention mechanisms and contrastive learning affect summarization quality. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Automatic Summarization / Contrastive Learning / Attention Mechanism / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 449, NLC2022-28, pp. 50-54, March 2023. |
| Paper # |
NLC2022-28 |
| Date of Issue |
2023-03-11 (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 |
NLC2022-28 |
| Conference Information |
| Committee |
NLC IPSJ-NL |
| Conference Date |
2023-03-18 - 2023-03-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
OIST |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Applications of natural language processing, and etc. |
| Paper Information |
| Registration To |
NLC |
| Conference Code |
2023-03-NLC-NL |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Contrastive Learning with Attention Pooling for Long Document Summarization |
| Sub Title (in English) |
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| Keyword(1) |
Automatic Summarization |
| Keyword(2) |
Contrastive Learning |
| Keyword(3) |
Attention Mechanism |
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| 1st Author's Name |
Tsukasa Kamo |
| 1st Author's Affiliation |
Shibaura Institute of Technology (SIT) |
| 2nd Author's Name |
Toru Sugimoto |
| 2nd Author's Affiliation |
Shibaura Institute of Technology (SIT) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-18 16:20:00 |
| Presentation Time |
20 minutes |
| Registration for |
NLC |
| Paper # |
NLC2022-28 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.449 |
| Page |
pp.50-54 |
| #Pages |
5 |
| Date of Issue |
2023-03-11 (NLC) |