Document Type
Book Chapter
Publication Date
2019
DOI
https://doi.org/10.3233/FAIA190331
Abstract
We are developing a knowledge base over Chinese judicial decision documents to facilitate landscape analyses of Chinese Criminal Cases. We view judicial decision documents as a mixed-granularity semi-structured text where different levels of the text carry different semantic constructs and entailments.We use a combination of context-sensitive grammar, dependency parsing and discourse analysis to extract a formal and interpretable representation of these documents. Our knowledge base is developed by constructing associations between different elements of these documents. The interpretability is contributed in part by our formal representation of the Chinese criminal laws, also as semi-structured documents. The landscape analyses utilizes these two representations and enables a law researcher to ask legal pattern analysis queries.
Disciplines
Comparative and Foreign Law | Criminal Law | Law
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Xiaohan Wu, Benjamin L. Liebman, Rachel E. Stern, Margaret Roberts & Amarnath Gupta,
On Constructing a Knowledge Base of Chinese Criminal Cases,
Legal Knowledge and Information Systems, M. Araszkiewicz and V. Rodríguez-Doncel (Eds.), IOS Press
(2019).
Available at:
https://scholarship.law.columbia.edu/faculty_scholarship/4372