Extended models and tools for high-performance part-of-speech tagger
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Fast methods for kernel-based text analysis
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Robust Dependency Parsing of Spontaneous Japanese Spoken Language
IEICE - Transactions on Information and Systems
Japanese dependency analysis using cascaded chunking
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Bootstrapping-Based Extraction of Dictionary Terms from Unsegmented Legal Text
New Frontiers in Artificial Intelligence
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This paper describes how to analyze Japanese statutory sentences. Although statutory sentences have many technical terms and characteristic structures, the design of the general Japanese corpus has no tags to handle such structures and usual Japanese parsers cannot analyze them correctly. Thus, we propose a new design of syntactic tags for statutory sentences and develop a support tool that corrects the output of a parser. In this paper, we focus on dependency structure of sentences and present an overview of the design and compilation of the corpus of Japanese statutory sentences.