Summary: Filter, Rank, and Transfer the Knowledge: Learning to Chat
Sina Jafarpour
Department of Computer Science
Princeton University
Princeton, NJ 08540
sina@cs.princeton.edu
Chris Burges
Microsoft Research
One Microsoft Way
Redmond, WA 98052
cburges@microsoft.com
Alan Ritter
Computer Science and Engineering
University of Washington
Seattle, WA 98195
aritter@cs.washington.edu
Abstract
Learning to chat is a fascinating machine learning task with many applications from user-modeling
to artificial intelligence. However, most of the work to date relies on designing large hard-wired
sets of rules. On the other hand, the growth of social networks on the web provides large quanti-

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

Collections: Computer Technologies and Information Sciences