Toward Building a Legal Knowledge-Base of Chinese Judicial Documents for Large-Scale Analytics
Year: 2017
Type: book-chapter
Abstract: We present an approach for constructing a legal knowledge-base that is sufficiently scalable to allow for large-scale corpus-level analyses. We do this by creating a polymorphic knowledge representation that includes hybrid ontologies, semistructured representations of sentences, and unsupervised statistical extraction of topics. We apply our approach to over one million judicial decision documents from Henan, China. Our knowledge-base allows us to make corpus-level queries that enable discovery, retrieval, and legal pattern analysis that shed new light on everyday law in China.
Authors: Gupta Amarnath, Wang Alice Z., Lin Kai, Hong Haoshen, Sun Haoran, Liebman Benjamin L., Stern Rachel E., Dasgupta Subhasis, Roberts Margaret E.
Language: English
Subfield: Law
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2782875096