Recently artificial intelligence technology replaces traditional manual methods in many fields. Especially the application of artificial intelligence in the legal field liberates legal people from tedious work. For example, crimes are automatically classified based on the facts of the crime, such as the crime name and sentence prediction. However, the premise of these applications is based on the establishment of case bases. Therefore, this paper studies the issue of automatic extraction of verdict information in natural language. Due to the verbal writing specification, we use regular expressions to construct extraction rule templates for template matching. At the same time, we also use natural language processing technology to extract the relevant semantic information accurately. For further similar case searching. The research focus of this paper is on the theft verdicts, and establish a database of records for the theft of the theft and the prediction of the theft of the theft.
Yang, Xi and Liu, Ying, "Automatic Extraction of Theft Judgment Information in Natural Language" (2018). ICEB 2018 Proceedings. 88.