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

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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.