Abstract
Alternative Dispute Resolution (ADR) is increasingly advocated as an alternative to litigation nowadays. Being one of the possible forms of ADR, eMediation aims to inform the parties of their desired information in legal texts relevant to the current case. A fundamental requirement to achieve this is that information in legal texts should be automatically identified. As a preliminary investigation, this study puts forward a discourse analysis based approach to recognize and present legal information with respect to users’ command. First, we make use of the 15 information categories proposed by Discourse Information Theory to describe legal information. Next, through a corpus-based analysis of the hierarchical structure of legal text and the tripartite structure of clause, we formulate a series of processing rules. Finally, an experiment is conducted to examine the efficacy of our approach. Experimental results show that our approach can reach a satisfying accuracy. Moreover, the approach may also provide some insights into the statistics based Natural Language Processing (NLP) techniques.
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