A simple approach for HPSG supertagging using dependency information

Authors:
Yao-zhong Zhang;Takuya Matsuzaki;Jun'ichi Tsujii
Affiliations:
University of Tokyo;University of Tokyo;University of Tokyo and University of Manchester and National Centre for Text Mining, UK
Venue:
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Year:
2010

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Abstract

In a supertagging task, sequence labeling models are commonly used. But their limited ability to model long-distance information presents a bottleneck to make further improvements. In this paper, we modeled this long-distance information in dependency formalism and integrated it into the process of HPSG supertagging. The experiments showed that the dependency information is very informative for supertag disambiguation. We also evaluated the improved supertagger in the HPSG parser.