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» Semantic Annotation of Biomedical Literature Using Google
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ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Speech-Based Visual Concept Learning Using Wordnet
Modeling visual concepts using supervised or unsupervised machine learning approaches are becoming increasing important for video semantic indexing, retrieval, and filtering appli...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
BMCBI
2008
122views more  BMCBI 2008»
13 years 8 months ago
OpenDMAP: An open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein tr
Background: Information extraction (IE) efforts are widely acknowledged to be important in harnessing the rapid advance of biomedical knowledge, particularly in areas where import...
Lawrence Hunter, Zhiyong Lu, James Firby, William ...
CIKM
2008
Springer
13 years 10 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
LBM
2007
13 years 9 months ago
Syntactic Features for Protein-Protein Interaction Extraction
Background: Extracting Protein-Protein Interactions (PPI) from research papers is a way of translating information from English to the language used by the databases that store th...
Rune Sætre, Kenji Sagae, Jun-ichi Tsujii
BMCBI
2008
121views more  BMCBI 2008»
13 years 8 months ago
OntoDas - a tool for facilitating the construction of complex queries to the Gene Ontology
Background: Ontologies such as the Gene Ontology can enable the construction of complex queries over biological information in a conceptual way, however existing systems to do thi...
Kieran O'Neill, Alexander García Castro, An...