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Our research addresses the task of updating legal documents when newinformation emerges. In this paper, we employ a hierarchical ranking model tothe task of updating legal documents. Word clustering features are incorporatedto the ranking models to exploit semantic relations between words. Experimentalresults on legal data built from the United States Code show that the hierarchicalranking model with word clustering outperforms baseline methods using VectorSpace Model, and word cluster-based features are effective features for the task.Legal Knowledge and Information Systems - JURIX 2010: The Twenty-Third Annual Conference Edited by Radboud G.F. Winkel

Update Legal Documents Using Hierarchical Ranking Models and Word Clustering