Improving Translation of Case Descriptions into Logical Fact Formulas using LegalCaseNER

Author:

Zin May Myo1ORCID,Nguyen Ha Thanh1ORCID,Satoh Ken1ORCID,Sugawara Saku1ORCID,Nishino Fumihito1ORCID

Affiliation:

1. National Institute of Informatics, Tokyo, Japan

Funder

JST, AIP Trilateral AI Research

JSPS KAKENHI

Publisher

ACM

Reference21 articles.

1. Satoh K , Asai K , Kogawa T , Kubota M , Nakamura M , Nishigai Y , PROLEG: an implementation of the presupposed ultimate fact theory of Japanese civil code by PROLOG technology . In: JSAI international symposium on artificial intelligence. Springer; 2010 . p. 153 -- 164 . Satoh K, Asai K, Kogawa T, Kubota M, Nakamura M, Nishigai Y, et al. PROLEG: an implementation of the presupposed ultimate fact theory of Japanese civil code by PROLOG technology. In: JSAI international symposium on artificial intelligence. Springer; 2010. p. 153--64.

2. Ito S. Lecture series on ultimate facts. Shojihomu (in Japanese) . 2008 . Ito S. Lecture series on ultimate facts. Shojihomu (in Japanese). 2008.

3. Deep semantic interpretations of legal texts

4. Nakamura , M. , Nobuoka , S. , Shimazu , A. : Towards translation of legal sentences into logical forms. JSAI-isAI 2007 : New Frontiers in Artificial Intelligence pp. 349 -- 362 (2008). Nakamura, M., Nobuoka, S., Shimazu, A.: Towards translation of legal sentences into logical forms. JSAI-isAI 2007: New Frontiers in Artificial Intelligence pp. 349--362 (2008).

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