Title
Transforming a chunker to a parserTransforming a chunker to a parser
Author
Faculty/Department
Faculty of Arts. Linguistics and Literature
Research group
Dept. Taal- en letterkunde
Publication type
conferenceObject
Publication
Subject
Linguistics
Source (journal)
LANGUAGE AND COMPUTERS
Source (book)
11th Conference on Computational Linguistics in the Netherlands, NOV 03, 2000, TILBURG UNIV, TILBURG, NETHERLANDS
Volume/pages
(2001):37, p. 177-188
ISBN
90-420-1257-9
ISI
000174422500013
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
Ever since the landmark paper Ramshaw and Marcus (1995), machine learning systems have been used successfully for identifying base phrases (chunks), the bottom constituents of a parse tree. We expand a state-of-the-art chunking algorithm to a bottom-up parser by recursively applying the chunker to its own output. After testing different training configurations we obtain a reasonable parser which is tested against a standard data set. Its performance falls behind that of current state-of-the-art parsers. We give some suggestions for modifications of the parser which may lead to future performance improvements.
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