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SIGIR
2009
ACM
15 years 6 months ago
Compression-based document length prior for language models
The inclusion of document length factors has been a major topic in the development of retrieval models. We believe that current models can be further improved by more refined est...
Javier Parapar, David E. Losada, Alvaro Barreiro
CIKM
2008
Springer
15 years 1 months ago
Combining concept hierarchies and statistical topic models
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...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
101
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ICML
2010
IEEE
14 years 12 months ago
Spherical Topic Models
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
Joseph Reisinger, Austin Waters, Bryan Silverthorn...
ICCV
2007
IEEE
16 years 1 months ago
People-LDA: Anchoring Topics to People using Face Recognition
Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
Vidit Jain, Erik G. Learned-Miller, Andrew McCallu...
EMNLP
2009
14 years 9 months ago
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
A significant portion of the world's text is tagged by readers on social bookmarking websites. Credit attribution is an inherent problem in these corpora because most pages h...
Daniel Ramage, David Hall, Ramesh Nallapati, Chris...