SYSTEM AND METHOD FOR CLASSIFYING LEGAL CONCEPTS USING LEGAL TOPIC SCHEME

An economic, scalable machine learning system and process perform document (concept) classification (210) with high accuracy using large topic schemes, including large hierarchical topic schemes. One or more highly relevant classification topics is suggested for a given document (concept) to be clas...

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Bibliographische Detailangaben
Hauptverfasser:	WILTSHIRE, JAMES S., JR, HUMPHREY, TIMOTHY, L, MORELOCK, JOHN, T, LU, X., ALLEN, PECK, JAMES, M, AHMED, SALAHUDDIN
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	ADVERTISING APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING CRYPTOGRAPHY DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES DIAGRAMS DISPLAY EDUCATION EDUCATIONAL OR DEMONSTRATION APPLIANCES ELECTRIC DIGITAL DATA PROCESSING GLOBES PHYSICS PLANETARIA SEALS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	An economic, scalable machine learning system and process perform document (concept) classification (210) with high accuracy using large topic schemes, including large hierarchical topic schemes. One or more highly relevant classification topics is suggested for a given document (concept) to be classified (210). The invention includes training (200) and concept classification (210) processes. The invention also provides methods that may be used as part of the training and/or concept classification processes, including: a method of scoring (303) the relevance of features in training concepts, a method of ranking concepts based on relevance score, and a method of voting on topics associated with an input concept. In a preferred embodiment, the invention is applied to the legal (case law) domain, classifying legal concepts (rules of law) according to a proprietary legal topic classification scheme (a hierarchical scheme of areas of law). La présente invention concerne un système et un processus économique d'apprentissage par machine évolutive, qui effectue la classification (210) de documents (notions) avec une grande précision selon de grands schémas thématiques, notamment de grands schémas thématiques hiérarchiques. On suggère de classifier (210) un ou plusieurs thèmes hautement pertinents d'un document (d'une notion) donné. Cette invention comprend des processus de formation (200) et de classification (210) de notion. Cette invention concerne aussi des procédés qui peuvent être utilisés comme partie des processus de formation et/ou de classification de notion, notamment un procédé de notation (303) de la pertinence des caractéristiques des notions de formation, un procédé de classement des notions fondé sur la notation de la pertinence, et un procédé de vote relatif aux thèmes associés à une notion entrée. Dans un mode préféré, cette invention est mise en oeuvre dans le domaine juridique (jurisprudence), établissant une classification de notions juridiques (lois) conformément à un schéma propriétaire de classification thématique juridique (un schéma hiérarchique de domaines législatifs)