Paper Info
Title
Bootstrapping a Verb Lexicon for Biomedical Information Extraction
Abstract
The extraction of information from texts requires resources that contain both syntactic and semantic properties of lexical units. As the use of language in specialized domains, such as biology, can be very different to the general domain, there is a need for domain-specific resources to ensure that the information extracted is as accurate as possible. We are building a large-scale lexical resource for the biology domain, providing information about predicate-argument structure that has been bootstrapped from a biomedical corpus on the subject of E. Coli. The lexicon is currently focussed on verbs, and includes both automatically-extracted syntactic subcategorization frames, as well as semantic event frames that are based on annotation by domain experts. In addition, the lexicon contains manually-added explicit links between semantic and syntactic slots in corresponding frames. To our knowledge, this lexicon currently represents a unique resource within in the biomedical domain.
Year
DOI
Venue
2009
10.1007/978-3-642-00382-0_11
CICLing
Keywords
Field
DocType
biomedical domain,verb lexicon,general domain,biomedical information extraction,semantic property,semantic event frame,specialized domain,automatically-extracted syntactic subcategorization frame,biology domain,syntactic slot,domain expert,biomedical corpus,information extraction
Verb,Annotation,Subcategorization,Computer science,Lexical item,Semantic property,Information extraction,Lexicon,Artificial intelligence,Natural language processing,Syntax
Conference
Volume
ISSN
Citations 
5449
0302-9743
9
PageRank 
References 
Authors
0.46
8
7
Name
Order
Citations
PageRank
Giulia Venturi113221.20
Simonetta Montemagni225533.40
Simone Marchi3715.52
Yutaka Sasaki4976.15
Paul Thompson51998.80
John McNaught642222.96
Sophia Ananiadou72658183.08