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Detecting Conclusion-Evidence Relations in Web Texts Using Anaphora Resolution Technique

使用照应消解技术检测网络文本中的结论-证据关系

基本信息

批准号：
20700138
负责人：
IIDA Ryu
金额：
$ 2.83万
依托单位：
Tokyo Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Young Scientists (B)
财政年份：
2008
资助国家：
日本
起止时间：
2008 至 2009
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20700138/
关键词：
照応解析根拠帰結関係同定根拠情報抽出自然言語処理

项目摘要

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.

本研究主要探讨文本中的结论-证据关系，包括“好”、“优秀”等评价性表达及其证据表达。我们发展了一种解决语篇中照应关系的技术，这是捕捉语篇中发生的话语关系的线索之一。为了将这种回指解析技术应用到结论-证据关系检测中，我们参考了Iida et al.（2004）和Iida et al.（2005）的工作中所利用的思想。当我们进行实证评估的结论-证据关系检测，我们报告说，我们的模型取得了更好的性能的关系检测出现在Web文本和报纸文章相比，基线模型。