Multi Lingual Question Answering System Using Word Relationship Expressions
| Project/Area Number |
19700140
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | Toyohashi University of Technology |
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Principal Investigator |
TSUCHIYA Masatoshi Toyohashi University of Technology, 工学部, 助教 (70378256)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥3,830,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥630,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2007: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | 自然言語処理 / 情報学 / 知能情報学 / 質問応答 / 言語横断検索 / 言語横断質問応答 / 対訳辞書作成 / 固有表現抽出 / 半教師有り機械学習 |
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| Research Abstract |
In order to realize a multilingual question answering system, several monolingual question systems will be required as its components. However, rule based approach is too expensive to prepare several monolingual question systems. Therefore, machine learning approach is employed to prepare them in this study, instead of rule based approach. We showed that machine learning approach is effective to prepare question answering systems in cheaper costs than rule based approaches with competitive performance. In order to improve their performances, two researches were conducted: large scale bilingual dictionary to improve keyword translation performance, and analysis of functional relationship between keywords to improve answer selection performance.
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Report
(4 results)
Research Products
(18 results)
