Information Extraction from Chinese Judgment Documents

Abstract

Judgment documents contain a wealth of valuable information. The original judgment documents are written in pure text format, so we cannot obtain information directly, which hinders the study of the judgment documents. We propose an approach to parse Chinese judgment documents into structured documents to solve this problem. Divide a judgment document into logical segments, and then extract and label information items from these logical segments. Use information items to build analytic document information model and the model is output into a structured XML document.