Presentation | 2017-09-08 Extraction of causal information from summaries of financial statements Hiroyuki Sakai, Kazuki Matsushita, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(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) |
Keyword(in English) | Causal information / Summaries of financial statements / Text mining / Natural language processing / Information extraction |
Paper # | NLC2017-33 |
Date of Issue | 2017-08-31 (NLC) |
Conference Information | |
Committee | NLC |
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Conference Date | 2017/9/7(2days) |
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 |
Chair | Hiroshi Kanayama(IBM) |
Vice Chair | Takeshi Sakaki(Hottolink) / Kazutaka Shimada(Kyushu Inst. of Tech.) |
Secretary | Takeshi Sakaki(Ryukoku Univ.) / Kazutaka Shimada(NTT) |
Assistant | Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Takeshi Kobayakawa(NICT) |
Paper Information | |
Registration To | Technical Committee on Natural Language Understanding and Models of Communication |
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Language | JPN |
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) | |
Keyword(1) | Causal information |
Keyword(2) | Summaries of financial statements |
Keyword(3) | Text mining |
Keyword(4) | Natural language processing |
Keyword(5) | Information extraction |
1st Author's Name | Hiroyuki Sakai |
1st Author's Affiliation | SEIKEI University(SEIKEI Univ.) |
2nd Author's Name | Kazuki Matsushita |
2nd Author's Affiliation | SEIKEI University(SEIKEI Univ.) |
Date | 2017-09-08 |
Paper # | NLC2017-33 |
Volume (vol) | vol.117 |
Number (no) | NLC-207 |
Page | pp.pp.87-91(NLC), |
#Pages | 5 |
Date of Issue | 2017-08-31 (NLC) |