Paper: Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure

ACL ID D14-1124
Title Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

Casual online forums such as Reddit, Slashdot and Digg, are continuing to in- crease in popularity as a means of com- munication. Detecting disagreement in this domain is a considerable challenge. Many topics are unique to the conversa- tion on the forum, and the appearance of disagreement may be much more sub- tle than on political blogs or social me- dia sites such as twitter. In this analy- sis we present a crowd-sourced annotated corpus for topic level disagreement detec- tion in Slashdot, showing that disagree- ment detection in this domain is difficult even for humans. We then proceed to show that a new set of features determined from the rhetorical structure of the con- versation significantly improves the per- formance on disagreement detection over a baseline consisting of unigram...