Publication
Title
Transforming a chunker to a parser
Author
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.
Language
English
Source (journal)
LANGUAGE AND COMPUTERS
Source (book)
11th Conference on Computational Linguistics in the Netherlands, NOV 03, 2000, TILBURG UNIV, TILBURG, NETHERLANDS
Publication
2001
ISBN
90-420-1257-9
Volume/pages
37(2001), p. 177-188
ISI
000174422500013
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 03.01.2013
Last edited 17.07.2017
To cite this reference