ISI
2006
Springer
13 years 11 months ago
2006
Springer
Statistical language models can learn relationships between topics discussed in a document collection and persons, organizations and places mentioned in each document. We present a...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
KDD
2006
ACM
14 years 12 months ago
2006
ACM
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
WWW
2008
ACM
15 years 3 days ago
2008
ACM
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...