Paper: Extra-Linguistic Constraints on Stance Recognition in Ideological Debates

ACL ID P13-2142
Title Extra-Linguistic Constraints on Stance Recognition in Ideological Debates
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

Determining the stance expressed by an author from a post written for a two- sided debate in an online debate forum is a relatively new problem. We seek to improve Anand et al.?s (2011) approach to debate stance classification by model- ing two types of soft extra-linguistic con- straints on the stance labels of debate posts, user-interaction constraints and ide- ology constraints. Experimental results on four datasets demonstrate the effectiveness of these inter-post constraints in improv- ing debate stance classification.