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NAACL
2010

Unsupervised Modeling of Twitter Conversations

13 years 14 days ago
Unsupervised Modeling of Twitter Conversations
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 discovers dialogue acts by clustering raw utterances. Because it accounts for the sequential behaviour of these acts, the learned model can provide insight into the shape of communication in a new medium. We address the challenge of evaluating the emergent model with a qualitative visualization and an intrinsic conversation ordering task. This work is inspired
Alan Ritter, Colin Cherry, Bill Dolan
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where NAACL
Authors Alan Ritter, Colin Cherry, Bill Dolan
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