Paper Abstract and Keywords |
Presentation |
2017-09-08 16:45
Extraction of causal information from summaries of financial statements Hiroyuki Sakai, Kazuki Matsushita (SEIKEI Univ.) NLC2017-33 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this research, we propose a method to extract sentences including causal information concerning business performance (e.g. "Orders of semiconductor manufacturing equipments were good") from summary of financial statements.
A previous research to extract sentences including causal information concerning business performance from summary of financial statements exists.
In contrast, our method automatically generates training data by more accurately narrowing down the sentences extracted by the previous method.
Using them, our method extracts more sentences including causal information concerning business performance than the previous method by deep learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Causal information / Summaries of financial statements / Text mining / Natural language processing / Information extraction / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 207, NLC2017-33, pp. 87-91, Sept. 2017. |
Paper # |
NLC2017-33 |
Date of Issue |
2017-08-31 (NLC) |
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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NLC2017-33 |
Conference Information |
Committee |
NLC |
Conference Date |
2017-09-07 - 2017-09-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Seikei University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The Eleventh Text Analytics Symposium |
Paper Information |
Registration To |
NLC |
Conference Code |
2017-09-NLC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Extraction of causal information from summaries of financial statements |
Sub Title (in English) |
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Causal information |
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Summaries of financial statements |
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Text mining |
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Natural language processing |
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Information extraction |
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1st Author's Name |
Hiroyuki Sakai |
1st Author's Affiliation |
SEIKEI University (SEIKEI Univ.) |
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Kazuki Matsushita |
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SEIKEI University (SEIKEI Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-09-08 16:45:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2017-33 |
Volume (vol) |
vol.117 |
Number (no) |
no.207 |
Page |
pp.87-91 |
#Pages |
5 |
Date of Issue |
2017-08-31 (NLC) |