DocumentCode
3318430
Title
Improving dependency analysis by syntactic parser combination
Author
Brunet-Manquat, Francis
Author_Institution
Lab. CLIPS, IMAG, Grenoble, France
fYear
2005
fDate
30 Oct.-1 Nov. 2005
Firstpage
699
Lastpage
704
Abstract
The goal of this article is to present our work about a combination of several syntactic parsers to produce a more robust parser. We have built a platform which allows us to compare syntactic parsers for a given language by splitting their results in elementary pieces, normalizing them, and comparing them with reference results. The same platform is used to combine several parsers to produce a dependency parser that has larger coverage and is more robust than its component parsers. In the future, it should be possible to "compile" the knowledge extracted from several analyzers into an autonomous dependency parser.
Keywords
computational linguistics; grammars; natural languages; dependency analysis; dependency parser; knowledge extraction; syntactic parser combination; Data analysis; Data mining; Laboratories; Natural languages; Production; Robustness; Speech recognition; Standardization; Tagging; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN
0-7803-9361-9
Type
conf
DOI
10.1109/NLPKE.2005.1598826
Filename
1598826
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