| Presentation | 2016-12-09 Extraction of Current Actual Status and Demand Expressions in Community Complaint Reports Yuta Sano, Tsunenori Mine, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Government 2.0 activities have become popular. Using the tools, anyone can share reports with other people on the Web. On the other hand, unlike telephone calls, the concreteness of a report depends on its reporter. Thus, the actual status and demand to the status may not be described clearly or either one may be miss-described in the report. To solve the problems, the discovery of incomplete reports and completion of missing information are indispensable. In this paper, we propose methods to automatically distinguish the actual status from the demand to the status. Experimental results show that an average F-score and an average accuracy score our methods achieved were 0.790 and 0.891, respectively. In addition, in our methods, RF achieved better results than SVM for both F-score and accuracy scores. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | dependency relations / empirical patterns / Government 2.0 / machine learning / pattern extraction |
| Paper # | AI2016-12 |
| Date of Issue | 2016-12-02 (AI) |
| Conference Information | |
| Committee | AI |
|---|---|
| Conference Date | 2016/12/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Toshiharu Sugawara(Waseda Univ.) |
| Vice Chair | Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.) |
| Secretary | Tsunenori Mine(Ritsumeikan Univ.) / Daisuke Katagami(Shizuoka Univ.) |
| Assistant | Yuichi Sei(Univ. of Electro-Comm.) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extraction of Current Actual Status and Demand Expressions in Community Complaint Reports |
| Sub Title (in English) | |
| Keyword(1) | dependency relations |
| Keyword(2) | empirical patterns |
| Keyword(3) | Government 2.0 |
| Keyword(4) | machine learning |
| Keyword(5) | pattern extraction |
| 1st Author's Name | Yuta Sano |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 2nd Author's Name | Tsunenori Mine |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| Date | 2016-12-09 |
| Paper # | AI2016-12 |
| Volume (vol) | vol.116 |
| Number (no) | AI-350 |
| Page | pp.pp.1-6(AI), |
| #Pages | 6 |
| Date of Issue | 2016-12-02 (AI) |