Lexisnexis

Reed Elsevier Inc.

Mead Data Central, Inc.

X Allan Lu

Timothy Lee Humphrey

James S Wiltshire, Jr

Salahuddin Ahmed

John T Morelock

Spiro G Collias

Thomas Pease

John Holt

David James Miller

Ray Daley

Catherine Leininger

Franz Weckesser

Dale Waddell

Minh Doan

Richard G Graham

Darin W McBeath

Timothy M Klein

James M Peck

Stephen M Sever

James S Wiltshire

Computer-based system and method for finding rules of law in text

An economic, scalable machine learning system and process perform document (concept) classification 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. The invention includes training and concept classification 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 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).

System and method for classifying legal concepts using legal topic scheme

An associative text search and retrieval system uses one or more front end processors to interacting with a network having one or more user terminals connected thereto to allow a user to provide information to the system and receive information from the system. The system also includes storage for a plurality of text documents, and at least one processor, coupled to the front end processors and the document storage. The processor(s) search the text documents according to a search request provided by the user and provide to the front end processor a predetermined number of retrieved documents containing at least one term of the search request. The retrieved documents have higher ranks than documents not provided to the front end processor. The ranks are calculated using a formula that varies according to the square of the frequency in each of the text documents of each of the search terms.

Associative text search and retrieval system having a table indicating

A short case name generator transforms the long case name of a lawsuit into a short case name format. The text of the long case name is converted to low-level tokens using dictionaries and heuristic rules. Selected tokens are eliminated and other selected tokens are consolidated into higher level tokens. Each of a sequence of stages receives the output tokens from the preceding stage and produce tokens at a higher level of abstraction. Ultimately, the highest level tokens are produced. Selected high-level tokens are deleted and the surviving tokens are broken down to their component tokens, selected ones of which are also deleted. Next, the surviving tokens are converted back into the text they represent. Editing rules are then applied to that text which results in the short case name format.

Short case name generating method and apparatus

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Springboro, OH, United States of America

X Allan Lu