TKDE
2010
13 years 10 months ago
2010
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
PKDD
2010
Springer
13 years 11 months ago
2010
Springer
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
SIGIR
2002
ACM
14 years 2 days ago
2002
ACM
We propose a formal model of Cross-Language Information Retrieval that does not rely on either query translation or document translation. Our approach leverages recent advances in...
ICML
2010
IEEE
14 years 1 months ago
2010
IEEE
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
DEXAW
2010
IEEE
14 years 1 months ago
2010
IEEE
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
UAI
2008
14 years 1 months ago
2008
Latent topic models have been successfully applied as an unsupervised topic discovery technique in large document collections. With the proliferation of hypertext document collect...
UAI
2008
14 years 1 months ago
2008
Although fully generative models have been successfully used to model the contents of text documents, they are often awkward to apply to combinations of text data and document met...
RIAO
2007
14 years 1 months ago
2007
Modeling text with topics is currently a popular research area in both Machine Learning and Information Retrieval (IR). Most of this research has focused on automatic methods thou...
NIPS
2008
14 years 1 months ago
2008
We develop the syntactic topic model (STM), a nonparametric Bayesian model of parsed documents. The STM generates words that are both thematically and syntactically constrained, w...
EMNLP
2008
14 years 1 months ago
2008
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recent...