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) |
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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 |
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deep learning |
Keyword(3) |
natural language processing |
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connection between sentences |
Keyword(5) |
Markov chain |
Keyword(6) |
automatic summarization |
Keyword(7) |
RNN |
Keyword(8) |
LSTM |
1st Author's Name |
Hiromitsu Ota |
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University of Air (Univ. of Air) |
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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 |
6 |
Date of Issue |
2017-09-16 (TL) |
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