Paper: Representing Text Chunks

ACL ID E99-1023
Title Representing Text Chunks
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1999

Dividing sentences in chunks of words is a useful preprocessing step for parsing, information extraction and information retrieval. (l~mshaw and Marcus, 1995) have introduced a "convenient" data rep- resentation for chunking by converting it to a tagging task. In this paper we will examine seven different data repre- sentations for the problem of recogniz- ing noun phrase chunks. We will show that the the data representation choice has a minor influence on chunking per- formance. However, equipped with the most suitable data representation, our memory-based learning chunker was able to improve the best published chunking results for a standard data set.