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ACL
2010
13 years 5 months ago
Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure
Documents often have inherently parallel structure: they may consist of a text and ries, or an abstract and a body, or parts presenting alternative views on the same problem. Reve...
Minwoo Jeong, Ivan Titov
SBP
2011
Springer
13 years 2 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...
AAAI
2007
13 years 9 months ago
Learning Language Semantics from Ambiguous Supervision
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
Rohit J. Kate, Raymond J. Mooney
ECIR
2009
Springer
14 years 4 months ago
A Comparative Study of Utilizing Topic Models for Information Retrieval
We explore the utility of different types of topic models for retrieval purposes. Based on prior work, we describe several ways that topic models can be integrated into the retrie...
Xing Yi, James Allan
NIPS
2008
13 years 8 months ago
Regularized Learning with Networks of Features
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...