Detecting Conclusion-Evidence Relations in Web Texts Using Anaphora Resolution Technique
| Project/Area Number |
20700138
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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 | Tokyo Institute of Technology |
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Principal Investigator |
IIDA Ryu Tokyo Institute of Technology, 大学院・情報理工学研究科, 助教 (40464276)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2009: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2008: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | 照応解析 / 根拠帰結関係同定 / 根拠情報抽出 / 自然言語処理 |
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| Research Abstract |
This research focuses on the task of detecting Conclusion-Evidence relations in texts, which consist of evaluative expressions such as "good" and "excellent" and their evidence expressions. We have developed a technique of resolving anaphoric relations in texts, which is one of clues to capture discourse relations occurring in texts. In order to incorporate such anaphora resolution technique into Conclusion-Evidence relation detection, we refer to the ideas exploited in the works by Iida et al. (2004) and Iida et al. (2005). As we conduct empirical evaluation of Conclusion-Evidence relation detection, we reported that our model achieved better performance of the relation detections appearing in both Web texts and newspaper articles in comparison to a baseline model.
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Report
(3 results)
Research Products
(8 results)
