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Design and Compilation of Syntactically Tagged Corpus of Japanese Statutory Sentences

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New Frontiers in Artificial Intelligence (JSAI-isAI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6797))

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Abstract

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.

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References

  1. Asahara, M., Matsumoto, Y.: Extended models and tools for high-performance part-of-speech tagger. In: Proc. COLING 2000, pp. 21–27 (2000)

    Google Scholar 

  2. Hagiwara, M., Ogawa, Y., Toyama, K.: Effective Use of Indirect Dependency for Distributional Similarity. Journal of Natural Language Processing 14(5), 119–150 (2008)

    Article  Google Scholar 

  3. Hagiwara, M., Ogawa, Y., Toyama, K.: Bootstrapping-based Extraction of Dictionary Terms from Unsegmented Legal Text. In: Hattori, H., Kawamura, T., Idé, T., Yokoo, M., Murakami, Y. (eds.) JSAI 2008. LNCS, vol. 5447, pp. 213–227. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  4. Kudo, T., Matsumoto, M.: Japanese Dependency Analysis using Cascaded Chunking. In: Proc. CoNLL 2002, pp. 63–69 (2002)

    Google Scholar 

  5. Kudo, T., Matsumoto, M.: Fast Methods for Kernel-based Text Analysis. In: Proc. ACL 2003, pp.24–31 (2003)

    Google Scholar 

  6. Kurohashi, S., Nagao, M.: KN Parser: Japanese Dependency/Case Structure Analyzer. In: Proc. Workshop on Sharable Natural Language Resources, pp. 48–55 (1994)

    Google Scholar 

  7. Kurohashi, S., Nakamura, T., Matsumoto, Y., Nagao, M.: Improvements of Japanese morphological analyzer JUMAN. In: Proc. Workshop on Sharable Natural Language Resources, pp. 22–28 (1994)

    Google Scholar 

  8. Kurohashi, S., Nagao, M.: Building a Japanese Parsed Corpus. In: Abeille, A. (ed.) Treebanks: Building and Using Parsed Corpora, pp. 249–260. Kluwer, Dordrecht (2003)

    Chapter  Google Scholar 

  9. Maeda, M.: Workbook Hosei Shitsumu (revised ed.), Gyosei, Tokyo (2005)

    Google Scholar 

  10. Ohno, T., Matsubara, S., Kawaguchi, N., Inagaki, Y.: Robust Dependency Parsing of Spontaneous Japanese Spoken Language. IEICE Trans. E88-D(3), 545–552 (2005)

    Article  Google Scholar 

  11. Padó, S., Lapata, M.: Dependency-Based Construction of Semantic Space Models. Computational Linguistics 33(2), 161–199 (2007)

    Article  Google Scholar 

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Ogawa, Y., Yamada, M., Kato, R., Toyama, K. (2011). Design and Compilation of Syntactically Tagged Corpus of Japanese Statutory Sentences. In: Onada, T., Bekki, D., McCready, E. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2010. Lecture Notes in Computer Science(), vol 6797. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25655-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-25655-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25654-7

  • Online ISBN: 978-3-642-25655-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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