Legal Judgement Summarizer. A Companion for Structured Summary

      Аннотация: Basically Legal Documents were little bit tough to understand and it is too long, hence a headnote, a brief summary of the Legal Document, is a needed one. Nowadays Legal experts were doing difficult clerical work of Interpreting and summarizing the previous judgments for the generation of headnote for their case arguments and for the decision making also. Thus Natural Language Processing (NLP) based Summarization Techniques fulfill the needs of the Legal Experts in a simple and efficient manner. In this book, efficient methods like Fuzzy Logic and Conditional Random Field Algorithm were used to produce a Legal Judgment Summary. Techniques included in the process were. • 11 Feature Extraction techniques were used to find the important sentences • Fuzzy Logic Technique is implemented to perform the summarization process. • Conditional Random Field, shortly CRF is used to perform the Classification Technique by identifying the Rhetorical Roles present in the legal document. This book which paves the way for preparing the Head note automatically from the legal document, by imparting Technology.

Ключевые слова: Data Mining, Feature Extraction., Fuzzy logic, Information Retrieval, Text Summarization, Legal Judgment, Conditional Random Field