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» Unsupervised Modeling of Twitter Conversations
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NAACL
2010
13 years 2 months 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 dia...
Alan Ritter, Colin Cherry, Bill Dolan
CSCW
2011
ACM
12 years 11 months ago
Peaks and persistence: modeling the shape of microblog conversations
A microblogged stream is delivered over time, providing an ongoing commentary of topics, trends, and issues. In this article, we present two methods of finding temporal topics wi...
David A. Shamma, Lyndon Kennedy, Elizabeth F. Chur...
SBP
2011
Springer
12 years 11 months ago
Identifying Health-Related Topics on Twitter - An Exploration of Tobacco-Related Tweets as a Test Topic
Public health-related topics are difficult to identify in large conversational datasets like Twitter. This study examines how to model and discover public health topics and themes ...
Kyle W. Prier, Matthew S. Smith, Christophe G. Gir...
EMNLP
2010
13 years 2 months ago
Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails
This work concerns automatic topic segmentation of email conversations. We present a corpus of email threads manually annotated with topics, and evaluate annotator reliability. To...
Shafiq R. Joty, Giuseppe Carenini, Gabriel Murray,...
COLING
2010
12 years 11 months ago
Unsupervised cleansing of noisy text
In this paper we look at the problem of cleansing noisy text using a statistical machine translation model. Noisy text is produced in informal communications such as Short Message...
Danish Contractor, Tanveer A. Faruquie, L. Venkata...