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| Presentation | 2017-09-18 12:30 Comparative consideration of automatic sentence generation method -- Issues and measures of connection among sentences in sentence generation -- Ota Hiromitsu (Univ. of Air)  DE2017-13 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The era of big data has arrived, several years have passed since it was established. Especially the development of deep learning in recent years is remarkable. However, to take advantage of it, the cost aspect of how much text is needed is important in practice. In this paper, we compare and consider efficient method of text quantity. Mainly used methods are as follows. 1) Markov chain, 2) automatic summarization, 3) is scheduled to sentence generated by deep learning (RNN / LSTM). |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | deep learning / big data / natural language processing / Markov chain / automatic summarization / RNN / LSTM / quantity of texts | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 212, DE2017-13, pp. 1-6, Sept. 2017. | |
| Paper # | DE2017-13 | |
| Date of Issue | 2017-09-11 (DE) | |
| 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 | DE2017-13 |
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| Conference Information | |
| Committee | DE IPSJ-DBS IPSJ-IFAT |
| Conference Date | 2017-09-18 - 2017-09-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ochanomizu University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Big Data Management, Information Retrieval, Knowledge Discovery, etc. |
| Paper Information | |
| Registration To | DE |
| Conference Code | 2017-09-DE-DBS-IFAT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparative consideration of automatic sentence generation method |
| Sub Title (in English) | Issues and measures of connection among sentences in sentence generation |
| Keyword(1) | deep learning |
| Keyword(2) | big data |
| Keyword(3) | natural language processing |
| Keyword(4) | Markov chain |
| Keyword(5) | automatic summarization |
| Keyword(6) | RNN |
| Keyword(7) | LSTM |
| Keyword(8) | quantity of texts |
| 1st Author's Name | Ota Hiromitsu |
| 1st Author's Affiliation | University of Air (Univ. of Air) |
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| Speaker | Author-1 |
| Date Time | 2017-09-18 12:30:00 |
| Presentation Time | 30 minutes |
| Registration for | DE |
| Paper # | DE2017-13 |
| Volume (vol) | vol.117 |
| Number (no) | no.212 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2017-09-11 (DE) |
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