Semantic Annotation in Maritime Legal Case Texts Based on Co-training

Abstract

In the era of artificial intelligence and big data, a large number of legal case texts have been accumulated in the process of law enforcement of marine rights protection. These case texts contain a lot of important information, such as the time, place, person, event, judgment body, judgment result and so on. The annotation of these semantic information is an important link in text analysis, mining and retrieval of sea-related cases. In this paper, a semantic annotation method based on collaborative training for maritime legal texts is proposed. The experimental results show that the method is correct and feasible.