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 2017-09-23 13:30
Comparative study of utilization of non-structured data for automatic generation of sentences -- Connection between sentence and sentence as a subject --
Hiromitsu Ota (Univ. of Air) TL2017-38
Abstract (in Japanese) (See Japanese page) 
(in English) Several years have passed since the age of big data arrived, and the development of deep learning in recent years is remarkable. Although image processing and speech recognition benefit from it, it seems that it can not be seen in the field of connection between sentences of natural language processing and sentences. So I would like to compare and examine each method of natural sentence generation that I can pass in practice and want to find a clue to the future. 1) Markov chain, 2) automatic summarization, 3) text generation by deep learning (RNN / LSTM/ GAN).
Keyword (in Japanese) (See Japanese page) 
(in English) big data / deep learning / natural language processing / connection between sentences / Markov chain / automatic summarization / RNN / LSTM  
Reference Info. IEICE Tech. Rep., vol. 117, no. 218, TL2017-38, pp. 1-6, Sept. 2017.
Paper # TL2017-38 
Date of Issue 2017-09-16 (TL) 
ISSN Print edition: ISSN 0913-5685    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 TL2017-38

Conference Information
Committee TL  
Conference Date 2017-09-23 - 2017-09-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Theme1: language and learning, Theme 2: interpretation and translation, Theme 3: thought and language, etc. 
Paper Information
Registration To TL 
Conference Code 2017-09-TL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Comparative study of utilization of non-structured data for automatic generation of sentences 
Sub Title (in English) Connection between sentence and sentence as a subject 
Keyword(1) big data  
Keyword(2) deep learning  
Keyword(3) natural language processing  
Keyword(4) connection between sentences  
Keyword(5) Markov chain  
Keyword(6) automatic summarization  
Keyword(7) RNN  
Keyword(8) LSTM  
1st Author's Name Hiromitsu Ota  
1st Author's Affiliation University of Air (Univ. of Air)
2nd Author's Name  
2nd Author's Affiliation ()
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
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 2017-09-23 13:30:00 
Presentation Time 30 minutes 
Registration for TL 
Paper # TL2017-38 
Volume (vol) vol.117 
Number (no) no.218 
Page pp.1-6 
#Pages
Date of Issue 2017-09-16 (TL) 


[Return to Top Page]

[Return to IEICE Web Page]


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