Name
Abstract | ||
|---|---|---|
Public debate functions as a forum for both expressing and forming opinions, an important aspect of public life. We present results for automatically classifying posts in online debate as to the position, or stance that the speaker takes on an issue, such as Pro or Con. We show that representing the dialogic structure of the debates in terms of agreement relations between speakers, greatly improves performance for stance classification, over models that operate on post content and parent-post context alone. |
Year | Venue | Keywords |
|---|---|---|
2012 | HLT-NAACL | parent-post context,public debate function,public life,online debate,post content,agreement relation,stance classification,dialogic property,important aspect,dialogic structure,classifying post |
Field | DocType | Citations |
Dialogic,Persuasion,Computer science,Natural language processing,Artificial intelligence,Linguistics,Public debate | Conference | 36 |
PageRank | References | Authors |
1.28 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marilyn A Walker | 1 | 3893 | 418.91 |
| Pranav Anand | 2 | 260 | 19.70 |
| Robert Abbott | 3 | 36 | 1.28 |
| Ricky Grant | 4 | 69 | 3.88 |