IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2020-09-10 09:40
Related Article Extraction Using Learning to Rank
Tsukasa Shiota, Kazutaka Shimada (Kyutech), Shinji Nogami, Shuhei Fukuyama (NNP) NLC2020-1
Abstract (in Japanese) (See Japanese page) 
(in English) Related articles of a news article help readers to access other beneficial information efficiently, so it is an important task for newspaper companies to link appropriate related articles to a news article on news websites. However, it costs to select related articles from the vast news articles that have been published in the past. To solve the issue, we introduce learning to rank method to the related article extraction task to support business operation. We propose some ranking methods and report the accuracy of each model with three evaluation metrics. We also show some input-output examples by the system that scores the highest accuracy in our experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) related article extraction / learning to rank / information retrieval / business support / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 166, NLC2020-1, pp. 1-6, Sept. 2020.
Paper # NLC2020-1 
Date of Issue 2020-09-03 (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 NLC2020-1

Conference Information
Committee NLC  
Conference Date 2020-09-10 - 2020-09-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Sixteenth Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2020-09-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Related Article Extraction Using Learning to Rank 
Sub Title (in English)  
Keyword(1) related article extraction  
Keyword(2) learning to rank  
Keyword(3) information retrieval  
Keyword(4) business support  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Tsukasa Shiota  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Kazutaka Shimada  
2nd Author's Affiliation Kyushu Institute of Technology (Kyutech)
3rd Author's Name Shinji Nogami  
3rd Author's Affiliation The Nishinippon Shimbun Co. Ltd. (NNP)
4th Author's Name Shuhei Fukuyama  
4th Author's Affiliation The Nishinippon Shimbun Co. Ltd. (NNP)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2020-09-10 09:40:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2020-1 
Volume (vol) vol.120 
Number (no) no.166 
Page pp.1-6 
#Pages
Date of Issue 2020-09-03 (NLC) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan