Summary: Data-Driven Response Generation in Social Media
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
William B. Dolan
Microsoft Research
Redmond, WA 98052
billdol@microsoft.com
Abstract
We present a data-driven approach to generat-
ing responses to Twitter status posts, based on
phrase-based Statistical Machine Translation.
We find that mapping conversational stimuli
onto responses is more difficult than translat-

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

Collections: Computer Technologies and Information Sciences