Intelligent conversation support system based on discussion map and multi-modal interpretation
Project/Area Number |
26730176
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Learning support system
|
Research Institution | Kyushu Institute of Technology |
Principal Investigator |
Shimada Kazutaka 九州工業大学, 大学院情報工学研究院, 准教授 (50346863)
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
|
Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
Keywords | 自然言語処理 / 要約 / マルチモーダル / コーパス / 議論支援 / 言い換え |
Outline of Final Research Achievements |
Supporting consensus-building on multi-party conversations is one of the most important tasks in intelligent systems. Participants on discussion often struggle to identify the most suitable solution for an agenda on a meeting because there are generally many alternatives and criteria related to the agenda. Such a supporting system for consensus-building has become a very important role for education in recent years because problem-based learning (PBL) is the more recent and highly regarded. In this research, I analyze discussions and proposed a tool for supporting consensus-building. This project handled two tasks; (1) conversation summarization based on linguistic and non-linguistic features and (2) the discussion map system for consensus-building. In addition, I opened the Kyutech corpus, a freely available Japanese conversation corpus for a decision-making task, on the web.
|
Report
(4 results)
Research Products
(24 results)