Learning dependency relations of Japanese compound functional expressions

Authors:
Takehito Utsuro;Takao Shime;Masatoshi Tsuchiya;Suguru Matsuyoshi;Satoshi Sato
Affiliations:
University of Tsukuba, Tennodai, Tsukuba, Japan;NEC Corporation;Toyohashi University of Technology, Toyohashi, Japan;Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan;Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan
Venue:
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Year:
2007

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Abstract

This paper proposes an approach of processing Japanese compound functional expressions by identifying them and analyzing their dependency relations through a machine learning technique. First, we formalize the task of identifying Japanese compound functional expressions in a text as a machine learning based chunking problem. Next, against the results of identifying compound functional expressions, we apply the method of dependency analysis based on the cascaded chunking model. The results of experimental evaluation show that, the dependency analysis model achieves improvements when applied after identifying compound functional expressions, compared with the case where it is applied without identifying compound functional expressions.