Abstract
Recent demands for translating Japanese statutes into foreign languages necessitate the compilation of standard bilingual dictionaries. To support this costly task, we propose a bootstrapping-based lexical knowledge extraction algorithm Monaka, to automatically extract dictionary term candidates from unsegmented Japanese legal text. The algorithm is based on the Tchai algorithm and extracts reliable patterns and instances in an iterative manner, but instead uses character n-grams as contextual patterns, and introduces a special constraint to ensure proper segmentation of the extracted terms. The experimental results show that this algorithm can extract correctly segmented and important dictionary terms with higher accuracy compared to conventional methods.
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References
Hearst, M.A.: Automatic Acquisition of Hyponyms from Large Text Corpora. In: Proc. of COLING 1992, pp. 539–545 (1992)
Komachi, M., Suzuki, H.: Minimally Supervised Learning of Semantic Knowledge from Query Logs. In: Proc. of IJCNLP 2008, pp. 358–365 (2008)
Lin, D., Zhao, S., Qin, L., Zhou, M.: Identifying Synonyms among Distributionally Similar Words. In: Proc. of IJCAI 2003, pp. 1492–1493 (2003)
Nakano, K., Hirai, U.: Japanese Named Entity Extraction with Bunsetsu Features. Transactions of Information Processing Society of Japan 45(3), 934–941 (2004)
Och, F.J., Ney, H.: Improved Statistical Alignment Models. In: Proc. of ACL 2000, pp. 440–447 (2000)
Pantel, P., Pennacchiotti, M.: Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations. In: Proc. of ACL 2006, pp. 113–120 (2006)
Pantel, P., Ravichandran, D.: Automatically labeling semantic classes. In: Proc. of HLT/NAACL 2004, pp. 321–328 (2004)
Riloff, E., Jones, R.: Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping. In: Proc. of AAAI 1999, pp. 474–479 (1999)
Study Council for Promoting Translation of Japanese Laws and Regulations into Foreign Languages: Final Report (2006), http://www.cas.go.jp/jp/seisaku/hourei/report.pdf
Study Council for Promoting Translation of Japanese Laws and Regulations into Foreign Languages: Standard Bilingual Dictionary (2006), http://www.cas.go.jp/jp/seisaku/hourei/dictionary.pdf
Takeda, Y., Umemura, K.: Selecting Indexing Strings Using Adaptation. In: Proceedings of ACM SIGIR 2002, pp. 427–428 (2002)
Thelen, M., Riloff, E.: A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts. In: Proceedings of EMNLP 2002, pp. 214–221 (2002)
Toyama, K., Ogawa, Y., Imai, K., Matsuura, Y.: Application of Word Alignment for Supporting Translation of Japanese Statutes into English. In: Legal Knowledge and Information Systems, JURIX 2006: The 19th Annual Conference, pp. 141–150. IOS Press, Amsterdam (2006)
Yumoto, H., Mori, T., Nakagawa, H.: Term Extraction Based on Occurrence and Concatenation Frequency. In: IPSJ SIG Notes, 2001-NL-145, pp. 111–118 (2001)
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Hagiwara, M., Ogawa, Y., Toyama, K. (2009). Bootstrapping-Based Extraction of Dictionary Terms from Unsegmented Legal Text. In: Hattori, H., Kawamura, T., Idé, T., Yokoo, M., Murakami, Y. (eds) New Frontiers in Artificial Intelligence. JSAI 2008. Lecture Notes in Computer Science(), vol 5447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00609-8_19
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DOI: https://doi.org/10.1007/978-3-642-00609-8_19
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