Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment

Artificial Intelligence and Law

Volumn 18, Issue 1, 2010, Pages 45-76

  Saravanan, M ^a   Ravindran, B ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Conditional random field; Document segmentation; Document summarization; K mixture; Rhetorical roles

Indexed keywords

AUTOMATICALLY GENERATED; BASIC STRUCTURE; COMPREHENSIVE SYSTEM; CONDITIONAL RANDOM FIELD; DATA SETS; DOCUMENT SEGMENTATION; DOCUMENT SUMMARIZATION; LEGAL EXPERTS; MACHINE LEARNING TECHNIQUES; PROBABILISTIC MODELS; SUB-DOMAINS; TIME-CONSUMING PROCESS; TRAINING DATA;

LEARNING ALGORITHMS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 77953613902     PISSN: 09248463     EISSN: 15728382     Source Type: Journal    
DOI: 10.1007/s10506-010-9087-7     Document Type: Article

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