45 search results - page 1 / 9 » A Latent Dirichlet Framework for Relevance Modeling |
AIRS
2009
Springer
13 years 11 months ago
2009
Springer
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
SIGIR
2003
ACM
13 years 10 months ago
2003
ACM
Latent Dirichlet Allocation (LDA) is a fully generative approach to language modelling which overcomes the inconsistent generative semantics of Probabilistic Latent Semantic Index...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...