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» Self-Training for Biomedical Parsing
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148
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IJCAI
2003
15 years 5 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
130
Voted
ACL
2010
15 years 1 months ago
Unsupervised Ontology Induction from Text
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
Hoifung Poon, Pedro Domingos
133
Voted
BMCBI
2008
185views more  BMCBI 2008»
15 years 3 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
109
Voted
BMCBI
2008
97views more  BMCBI 2008»
15 years 3 months ago
Large-scale directional relationship extraction and resolution
Background: Relationships between entities such as genes, chemicals, metabolites, phenotypes and diseases in MEDLINE are often directional. That is, one may affect the other in a ...
Cory B. Giles, Jonathan D. Wren
134
Voted
BMCBI
2005
94views more  BMCBI 2005»
15 years 3 months ago
T.I.M.S: TaqMan Information Management System, tools to organize data flow in a genotyping laboratory
Background: Single Nucleotide Polymorphism (SNP) genotyping is a major activity in biomedical research. The Taqman technology is one of the most commonly used approaches. It produ...
Stéphanie Monnier, David G. Cox, Tim Albion...