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ACL
2012
11 years 7 months ago
Pattern Learning for Relation Extraction with a Hierarchical Topic Model
We describe the use of a hierarchical topic model for automatically identifying syntactic and lexical patterns that explicitly state ontological relations. We leverage distant sup...
Enrique Alfonseca, Katja Filippova, Jean-Yves Delo...
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
14 years 5 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
TMM
2010
194views Management» more  TMM 2010»
13 years 8 hour ago
Modeling Flickr Communities Through Probabilistic Topic-Based Analysis
Abstract--With the increased presence of digital imaging devices, there also came an explosion in the amount of multimedia content available online. Users have transformed from pas...
Radu Andrei Negoescu, Daniel Gatica-Perez
AAAI
2010
13 years 6 months ago
A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
Michael Paul, Roxana Girju
CVPR
2008
IEEE
14 years 7 months ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel