Title:
【発明の名称】法律トピック体系を使用して法律概念を分類するシステム及び方法
Document Type and Number:
Japanese Patent JP2003526140
Kind Code:
A
Abstract:
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).
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Inventors:
Wiltshire James S. Junior
More Rock John Tee
Humphrey Timothy L
Ruex Allen
Peck James M
Ahmed Salahuddin
More Rock John Tee
Humphrey Timothy L
Ruex Allen
Peck James M
Ahmed Salahuddin
Application Number:
JP2001516135A
Publication Date:
September 02, 2003
Filing Date:
July 31, 2000
Export Citation:
Assignee:
Lexis Nexis
International Classes:
G06F17/27; G06F17/30; G06N5/02; G06Q10/00; G09B7/00; (IPC1-7): G06F17/30; G06F17/27
Domestic Patent References:
| JPH10254883A | 1998-09-25 | |||
| JPH11167581A | 1999-06-22 |
Foreign References:
| US5794236A | 1998-08-11 |
Attorney, Agent or Firm:
Minoru Nakamura (9 outside)