Finding legally relevant passages in case opinions
Proceedings of the 6th international conference on Artificial intelligence and law
Proceedings of the 6th international conference on Artificial intelligence and law
Automatic categorization of case law
Proceedings of the 8th international conference on Artificial intelligence and law
Word identification for Mandarin Chinese sentences
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Expert Systems with Applications: An International Journal
Visualized cognitive knowledge map integration for P2P networks
Decision Support Systems
Exploring Fraudulent Financial Reporting with GHSOM
PAISI '09 Proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics
Topological pattern discovery and feature extraction for fraudulent financial reporting
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
A good legal knowledge representation system, capable of effectively providing investors with comprehensive legal knowledge, is needed for investors to prevent erratic behavior before investment decisions. This is especially important in Taiwan's securities and futures markets because the majority of market participants are individual investors who have limited access to legal knowledge about markets. Besides, the construction of the knowledge representation has to be automatic in order to efficiently handle the fast-growing and changeable legal information. Thus, we use the GHSOM algorithm to present a content-based and easy-to-use map hierarchy for Chinese legal documents in the securities and futures markets in the Chinese language. Meanwhile, an enhanced topic selection module and a web-based user interface are also proposed. The maps can be browsed on the web site (http://synteny.iis.sinica.edu.tw/legalmap/). To evaluate the legal maps, we apply two approaches, namely a validity test and a task experiment.