acl acl2013 acl2013-151 acl2013-151-reference knowledge-graph by maker-knowledge-mining
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Author: Kazi Saidul Hasan ; Vincent Ng
Abstract: Determining the stance expressed by an author from a post written for a twosided debate in an online debate forum is a relatively new problem. We seek to improve Anand et al.’s (201 1) approach to debate stance classification by modeling two types of soft extra-linguistic constraints on the stance labels of debate posts, user-interaction constraints and ideology constraints. Experimental results on four datasets demonstrate the effectiveness of these inter-post constraints in improving debate stance classification.
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