Paper: Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates

ACL ID D14-1083
Title Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

Recent years have seen a surge of interest in stance classification in online debates. Oftentimes, however, it is important to de- termine not only the stance expressed by an author in her debate posts, but also the reasons behind her supporting or oppos- ing the issue under debate. We therefore examine the new task of reason classifi- cation in this paper. Given the close in- terplay between stance classification and reason classification, we design computa- tional models for examining how automat- ically computed stance information can be profitably exploited for reason classifica- tion. Experiments on our reason-annotated corpus of ideological debate posts from four domains demonstrate that sophisti- cated models of stances and reasons can indeed yield more accurate reason and stance cl...