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Learning Biological Interactions from Medline Abstracts Sophia Katrenko katrenko@science.uva.nl
 

Summary: Learning Biological Interactions from Medline Abstracts
Sophia Katrenko katrenko@science.uva.nl
Human-Computer Studies Laboratory, University of Amsterdam, Kruislaan 419, 1098 VA, Amsterdam
M. Scott Marshall marshall@science.uva.nl
Integrative Bioinformatics Unit, University of Amsterdam, Kruislaan 318, 1098 SM Amsterdam
Marco Roos roos@science.uva.nl
Integrative Bioinformatics Unit, University of Amsterdam, Kruislaan 318, 1098 SM Amsterdam
Pieter Adriaans pietera@science.uva.nl
Human-Computer Studies Laboratory, University of Amsterdam, Kruislaan 419, 1098 VA, Amsterdam
Abstract
In this paper, we describe our approach to
the Genic Interaction Extraction Challenge.
Our solution combines several elements: 1)
a domain theory about the interaction be-
tween language, semantics and syntax, 2) a
biological ontology identifying amongst other
things biomolecular entities and directed in-
teraction verbs in the lexicon, 3) the notion
of lexical-semantic-syntactic unification, 4)
the notion of partial unification of lexical-

  

Source: Adriaans, Pieter - Instituut voor Informatica, Universiteit van Amsterdam

 

Collections: Computer Technologies and Information Sciences