| Presentation | 2018-09-07 Extraction of causal information belong to business segments from securities reports Kaito Takano, Hiroyuki Sakai, Ryozo Kitajima, |
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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 of extracting business segments from securities reports and extracting sentences including causal information concerning business performance for each extracted business segments. For example, our method extracts “Sales of digital cameras remained steady as markets shrank, with firm sales of new products stuck firmly in Europe, the US and Japan.” as a sentence including causal information concerning business performance and estimates that the business segment to which it belongs is the "imaging system business unit". |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Causal information / Securities reports / Text mining / Information extraction |
| Paper # | NLC2018-28 |
| Date of Issue | 2018-08-30 (NLC) |
| Conference Information | |
| Committee | NLC / IPSJ-DC |
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| Conference Date | 2018/9/6(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Seikei University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The Thirteenth Text Analytics Symposium |
| Chair | Takeshi Sakaki(Hottolink) / Michiko Oba(Hitachi) |
| Vice Chair | Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.) |
| Secretary | Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT) / (Kyushu Univ.) |
| Assistant | Takeshi Kobayakawa(NHK) / Hiroki Sakaji(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Document 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 belong to business segments from securities reports |
| Sub Title (in English) | |
| Keyword(1) | Causal information |
| Keyword(2) | Securities reports |
| Keyword(3) | Text mining |
| Keyword(4) | Information extraction |
| 1st Author's Name | Kaito Takano |
| 1st Author's Affiliation | Seikei University(Seikei Univ.) |
| 2nd Author's Name | Hiroyuki Sakai |
| 2nd Author's Affiliation | Seikei University(Seikei Univ.) |
| 3rd Author's Name | Ryozo Kitajima |
| 3rd Author's Affiliation | Seikei University(Seikei Univ.) |
| Date | 2018-09-07 |
| Paper # | NLC2018-28 |
| Volume (vol) | vol.118 |
| Number (no) | NLC-210 |
| Page | pp.pp.109-112(NLC), |
| #Pages | 4 |
| Date of Issue | 2018-08-30 (NLC) |