Paper Abstract and Keywords |
Presentation |
2018-12-12 17:00
Application of Neural Title Generation as News Editing Assistant Kazuma Murao (Yahoo Japan Corporation), Hayato Kobayashi (Yahoo Japan Corporation/RIKEN AIP), Taichi Yatsuka, Ken Kobayashi, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi (Yahoo Japan Corporation) NLC2018-34 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
There have been many studies on automatic title generation based on neural networks.
However, there are a number of challenges to apply them to real services.
In this paper, we report a case example of how to apply an automatic title generation method as a news editing assistant. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
automatic summarization / automatic title generation / encoder-decoder model / editing assistance / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 355, NLC2018-34, pp. 109-115, Dec. 2018. |
Paper # |
NLC2018-34 |
Date of Issue |
2018-12-04 (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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
Download PDF |
NLC2018-34 |