| Presentation | 2017-09-08 Determination of unexpectedness of cause-result expressions extracted from summary of financial statements Risa Murono, Hiroyuki Sakai, Hiroki Sakaji, Jason Bennett, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this research, we propose a method to automatically determine whether cause-result expressions extracted from summary of financial statements are unexpected or not. For example, the result expression that “Sales of drinking paper containers has increased” with respect to the cause expression that "due to heat wave" is determined as an unexpectedness cause-result expression. Although it can be easily imagined that sales of air conditioners and beer will increase in the case of heat wave, it is difficult to imagine that the sales of “drinking paper containers” may increase. Our method determines unexpectedness by using the conditional probability with the word contained in the result expression co-occurring with “heat wave”, and the score of important keywords contained in the cause-result expression. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cause-result expressions / Summary of financial statements / Text mining / Information extraction / Knowledge discovery |
| Paper # | NLC2017-34 |
| Date of Issue | 2017-08-31 (NLC) |
| Conference Information | |
| Committee | NLC |
|---|---|
| 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 |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Determination of unexpectedness of cause-result expressions extracted from summary of financial statements |
| Sub Title (in English) | |
| Keyword(1) | Cause-result expressions |
| Keyword(2) | Summary of financial statements |
| Keyword(3) | Text mining |
| Keyword(4) | Information extraction |
| Keyword(5) | Knowledge discovery |
| 1st Author's Name | Risa Murono |
| 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 | Hiroki Sakaji |
| 3rd Author's Affiliation | The University of Tokyo(The Univ. of Tokyo) |
| 4th Author's Name | Jason Bennett |
| 4th Author's Affiliation | Sumitomo Mitsui Asset Management(SMAM) |
| Date | 2017-09-08 |
| Paper # | NLC2017-34 |
| Volume (vol) | vol.117 |
| Number (no) | NLC-207 |
| Page | pp.pp.93-98(NLC), |
| #Pages | 6 |
| Date of Issue | 2017-08-31 (NLC) |