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ACL
2010
13 years 8 months ago
Topic Models for Word Sense Disambiguation and Token-Based Idiom Detection
This paper presents a probabilistic model for sense disambiguation which chooses the best sense based on the conditional probability of sense paraphrases given a context. We use a...
Linlin Li, Benjamin Roth, Caroline Sporleder
ACL
2012
12 years 9 days 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...
MM
2005
ACM
140views Multimedia» more  MM 2005»
14 years 3 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
SOCIALCOM
2010
13 years 7 months ago
Mining Human Location-Routines Using a Multi-Level Approach to Topic Modeling
In this work we address the problem of modeling varying time duration sequences for large-scale human routine discovery from cellphone sensor data using a multi-level approach to p...
Katayoun Farrahi, Daniel Gatica-Perez
TMM
2010
194views Management» more  TMM 2010»
13 years 4 months 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