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BMCBI
2006
130views more  BMCBI 2006»
9 years 11 months ago
Identifying biological concepts from a protein-related corpus with a probabilistic topic model
Background: Biomedical literature, e.g., MEDLINE, contains a wealth of knowledge regarding functions of proteins. Major recurring biological concepts within such text corpora repr...
Bin Zheng, David C. McLean Jr, Xinghua Lu
CIKM
2008
Springer
10 years 1 months ago
Passage relevance models for genomics search
We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of t...
Jay Urbain, Ophir Frieder, Nazli Goharian
TKDE
2010
224views more  TKDE 2010»
9 years 10 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
AAAI
2010
10 years 25 days 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
ACL
2011
9 years 3 months ago
Content Models with Attitude
We present a probabilistic topic model for jointly identifying properties and attributes of social media review snippets. Our model simultaneously learns a set of properties of a ...
Christina Sauper, Aria Haghighi, Regina Barzilay
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