关键词: 司法领域, 犯罪行为序列, 文本表示, 文本分类, 法律条文预测

Abstract: With the rapid development of Internet technology and artificial intelligence technology, how to introduce artificial intelligence into the judicial field has been closely watched by major research institutions. In the traditional trial-assisted work, the main task is to establish the law, the sentence, and the establishment of the crime for the independent case characteristics. However, in this case, the order of case characteristics is easily ignored, especially when it comes to the time series of case characteristics, and the analysis of the sequence of actions, the “sequence problem” may affect the final trial results, such as cases with the same characteristics may lead to the trial result different. This paper studies how to effectively use this information to improve the performance of legal provisions, to improve the performance in the judicial field, and to assist judges and lawyers to make legal decisions more efficiently. By using the factual description of the case and the sequence of criminal acts to predict the relevant laws involved in the case, this paper verifies the validity of the legal provisions based on the sequence of criminal acts.

Key words: judicial field, criminal behavior sequence, text representation, text classification, relevant article prediction