Development of an advanced open-domain question answering system by incorporating text mining methods
Project/Area Number |
19500121
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
|
Research Institution | Toyohashi University of Technology |
Principal Investigator |
AKIBA Tomoyoshi Toyohashi University of Technology, 工学部, 准教授 (00356346)
|
Co-Investigator(Kenkyū-buntansha) |
NAKAGAWA Seiichi 豊橋技術科学大学, 工学部 (20115893)
|
Project Period (FY) |
2007 – 2009
|
Project Status |
Completed (Fiscal Year 2009)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2007: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
Keywords | オープンドメイン質問応答 / テキストマイニング / 情報検索 / 音声ドキュメント処理 / オープンドメイン質問応 |
Research Abstract |
Open domain question answering is a promising technology for obtaining the information relevant to one's information needs from large-scale documents. In this research, we focused on "mining type questions", which had not been dealt with the existing QA system. We firstly investigated the mining type questions appeared in the real-world question database, then developed a QA system targeting them by exploiting the findings. In addition, we developed the methods to improve the accuracy of the traditional question answering, the QA methods targeting a foreign language documents, and the methods targeting speech data.
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Report
(4 results)
Research Products
(48 results)