Automatic Extraction of Entities and Relation from Legal Documents

Judith Jeyafreeda Andrew

Abstract: In recent years, the journalists and com- puter sciences speak to each other to identify useful technologies which would help them in extracting useful information. This is called ”computational Journalism”. In this paper, we present a method that will enable the journalists to automatically identifies and annotates entities such as names of people, organizations, role and functions of people in legal documents; the relationship between these entities are also explored. The system uses a combina- tion of both statistical and rule based tech- nique. The statistical method used is Con- ditional Random Fields and for the rule based technique, document and language specific regular expressions are used.