论文标题
在印度法院判决中被任命为实体认可
Named Entity Recognition in Indian court judgments
论文作者
论文摘要
从法律文本中识别指定实体是开发其他法律人工智能应用程序的重要组成部分。法律文本中的命名实体略有不同，并且与常用的命名实体，例如人，组织，位置等。在本文中，我们介绍了一个46545注释的法律命名实体的新语料库，该实体被映射到14种法律实体类型。还开发了用于从判断文本中提取法律命名实体的基线模型。
Identification of named entities from legal texts is an essential building block for developing other legal Artificial Intelligence applications. Named Entities in legal texts are slightly different and more fine-grained than commonly used named entities like Person, Organization, Location etc. In this paper, we introduce a new corpus of 46545 annotated legal named entities mapped to 14 legal entity types. The Baseline model for extracting legal named entities from judgment text is also developed.
