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» Topic Models Conditioned on Relations
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NIPS
2008
14 years 11 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
CORR
2000
Springer
78views Education» more  CORR 2000»
14 years 9 months ago
One Sense per Collocation and Genre/Topic Variations
This paper revisits the one sense per collocation hypothesis using fine-grained sense distinctions and two different corpora. We show that the hypothesis is weaker for fine-graine...
David Martínez, Eneko Agirre
HCI
2001
14 years 10 months ago
Age differences and the depth - breadth tradeoff in hierarchical online information systems
This paper examines previous research on the topic of depth versus breath in hierarchical menu structures, and explains why searching for information on the world wide web follows...
Panayiotis Zaphiris
ECIR
2009
Springer
15 years 6 months ago
A Topic-Based Measure of Resource Description Quality for Distributed Information Retrieval
The aim of query-based sampling is to obtain a sufficient, representative sample of an underlying (text) collection. Current measures for assessing sample quality are too coarse gr...
Mark Baillie, Mark James Carman, Fabio Crestani
NIPS
2004
14 years 10 months ago
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...