Isbn: 9786134907637 - legal judgement summarizer: a companion for structured summary (6 Ergebnisse)

Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

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.…

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 52 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Megala S. SanthanaDr. 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 .…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.…