Representing Text Chunks
<|reference_start|>Representing Text Chunks: Dividing sentences in chunks of words is a useful preprocessing step for parsing, information extraction and information retrieval. (Ramshaw and Marcus, 1995) have introduced a "convenient" data representation for chunking by converting it to a tagging task. In this paper we will examine seven different data representations for the problem of recognizing noun phrase chunks. We will show that the the data representation choice has a minor influence on chunking performance. 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.<|reference_end|>
@article{sang1999representing,
    title={Representing Text Chunks},
    author={Erik F. Tjong Kim Sang and Jorn Veenstra},
    journal={EACL'99, Bergen},
    year={1999},
    archivePrefix={arXiv},
    eprint={cs/9907006},
    primaryClass={cs.CL}
}