Summary: Unsupervised Modeling of Twitter Conversations
Alan Ritter
Computer Sci. & Eng.
University of Washington
Seattle, WA 98195
aritter@cs.washington.edu
Colin Cherry
National Research Council Canada
Ottawa, Ontario, K1A 0R6
Colin.Cherry@nrc-cnrc.gc.ca
Bill Dolan
Microsoft Research
Redmond, WA 98052
billdol@microsoft.com
Abstract
We propose the first unsupervised approach
to the problem of modeling dialogue acts in
an open domain. Trained on a corpus of
noisy Twitter conversations, our method dis-
covers dialogue acts by clustering raw utter-

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle

Collections: Computer Technologies and Information Sciences