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Thoughts on Search: Efficient and Flexible Retrieval Models for Legal Documents

This presentation explores the limitations of common information retrieval models for legal documents and discusses the need for novel retrieval models. It also highlights the challenges in developing a toolkit for legal document search due to the diverse document representations.

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Thoughts on Search: Efficient and Flexible Retrieval Models for Legal Documents

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  1. ICAIL 2007 DESI Workshop Panel presentation Marie-Francine Moens Centre for Law and ICT/ Department of Computer Science Katholieke Universiteit Leuven, Belgium

  2. Some thoughts on search • Common information retrieval (cf. TREC): • Simple representation of document and query: flat list of unordered words • Advantages: • Efficient search • Flexible • Satisfactory for factual information

  3. Some thoughts on search • Legal documents: • Index on different level of abstraction: • Facts, factors, issues • and their relations • Cf. graph representation • Question: can exhibit similar levels of abstraction

  4. Some thoughts on search • Need for novel retrieval models (beyond Boolean search): • Probabilistic models: e.g., inference network models (Turtle & Croft, 1992), language models (Lafferty & Croft, 2003) • Graph based models of search (experience in Cased based reasoning research by e.g., Ashley, Aleven) • Interactive models (combine ranking and exploration)?

  5. Some thoughts on toolkit • Different toolkit: would have to define in advance which tools you use for which collection • But, but you do not know in advance the interest/questions of users • Many different document representations?

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