Paper Info
Title
A comparative study of syntactic parsers for event extraction
Abstract
The extraction of biomolecular events from text is an important task for a number of domain applications such as pathway construction. Several syntactic parsers have been used in Biomedical Natural Language Processing (BioNLP) applications, and the BioNLP 2009 Shared Task results suggest that incorporation of syntactic analysis is important to achieving state-of-the-art performance. Direct comparison of parsers is complicated by to differences in the such as the division between phrase structure- and dependency-based analyses and the variety of output formats, structures and representations applied. In this paper, we present a task-oriented comparison of five parsers, measuring their contribution to biomolecular event extraction using a state-of-the-art event extraction system. The results show that the parsers with domain models using dependency formats provide very similar performance, and that an ensemble of different parsers in different formats can improve the event extraction system.
Year
Venue
Keywords
2010
BioNLP@ACL
syntactic parsers,different parsers,comparative study,different format,direct comparison,domain model,state-of-the-art event extraction system,domain application,event extraction,biomolecular event,event extraction system
Field
DocType
Citations 
Computer science,Speech recognition,Phrase structure rules,Biomedical text mining,Artificial intelligence,Natural language processing,Parsing,Syntax,Domain model
Conference
24
PageRank 
References 
Authors
1.18
16
4
Name
Order
Citations
PageRank
Makoto Miwa174644.93
Sampo Pyysalo2392.93
Tadayoshi Hara31189.54
Jun'ichi Tsujii43610232.96