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  1.  33
    Improving Legal Information Retrieval Using an Ontological Framework.M. Saravanan, B. Ravindran & S. Raman - 2009 - Artificial Intelligence and Law 17 (2):101-124.
    A variety of legal documents are increasingly being made available in electronic format. Automatic Information Search and Retrieval algorithms play a key role in enabling efficient access to such digitized documents. Although keyword-based search is the traditional method used for text retrieval, they perform poorly when literal term matching is done for query processing, due to synonymy and ambivalence of words. To overcome these drawbacks, an ontological framework to enhance the user’s query for retrieval of truly relevant legal judgments has (...)
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  2.  18
    Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment.M. Saravanan & B. Ravindran - 2010 - Artificial Intelligence and Law 18 (1):45-76.
    Legal judgments are complex in nature and hence a brief summary of the judgment, known as a headnote , is generated by experts to enable quick perusal. Headnote generation is a time consuming process and there have been attempts made at automating the process. The difficulty in interpreting such automatically generated summaries is that they are not coherent and do not convey the relative relevance of the various components of the judgment. A legal judgment can be segmented into coherent chunks (...)
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  3.  13
    Visual Object Detection Using Frequent Pattern Mining.A. Yousuf & B. Ravindran - forthcoming - The Proceedings of the Twenty Third Florida Ai Research Society Conference (Flairs 2010).