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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr. S.Santhana Megala is working as an Assistant Professor. She is having 6 years of experience in teaching. She completed her Ph.D in Computer Science in PRIST University, Thanjavur, Tamil Nadu. Her specialization area is Data Mining. She is interested in the Law field also. In her research work, she implemented the technology in the Legal domain.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Artikel-Nr. zk6134907634
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Legal Judgement Summarizer | A Companion for Structured Summary | S. Santhana Megala | Taschenbuch | 52 S. | Englisch | 2018 | LAP Lambert Academic Publishing | EAN 9786134907637 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Artikel-Nr. 111717198
Anzahl: 5 verfügbar