Case frame compilation from the web using high-performance computing

Daisuke Kawahara; Sadao Kurohashi

Case frame compilation from the web using high-performance computing

Research output: Contribution to conference › Paper › peer-review

Abstract

Case frames are important knowledge for a variety of NLP systems, especially when wide-coverage case frames are available. To acquire such large-scale case frames, it is necessary to automatically compile them from an enormous amount of corpus. In this paper, we consider the web as a corpus. We first build a huge text corpus from the web, and then construct case frames from the corpus. It is infeasible to do these processes by one CPU, and thus we employ a high-performance computing environment composed of 350 CPUs. The acquired corpus consists of 470M sentences, and the case frames compiled from them have 90,000 verb entries. The case frames contain most examples of usual use, and are ready to be applied to lots of NLP analyses and applications.

Original language	English
Pages	1344-1347
Number of pages	4
Publication status	Published - 2006
Externally published	Yes
Event	5th International Conference on Language Resources and Evaluation, LREC 2006 - Genoa, Italy Duration: 2006 May 22 → 2006 May 28

Other

Other	5th International Conference on Language Resources and Evaluation, LREC 2006
Country	Italy
City	Genoa
Period	06/5/22 → 06/5/28

ASJC Scopus subject areas

Education
Library and Information Sciences
Linguistics and Language
Language and Linguistics

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AU - Kurohashi, Sadao

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AB - Case frames are important knowledge for a variety of NLP systems, especially when wide-coverage case frames are available. To acquire such large-scale case frames, it is necessary to automatically compile them from an enormous amount of corpus. In this paper, we consider the web as a corpus. We first build a huge text corpus from the web, and then construct case frames from the corpus. It is infeasible to do these processes by one CPU, and thus we employ a high-performance computing environment composed of 350 CPUs. The acquired corpus consists of 470M sentences, and the case frames compiled from them have 90,000 verb entries. The case frames contain most examples of usual use, and are ready to be applied to lots of NLP analyses and applications.

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