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Thomson Legal and Regulatory at CLEF 2001: Monolingual and Bilingual Experiments.

, , , , and . CLEF (Working Notes), volume 1167 of CEUR Workshop Proceedings, CEUR-WS.org, (2001)

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Report on Thomson Legal and Regulatory Experiments at CLEF-2004., and . CLEF (Working Notes), volume 1170 of CEUR Workshop Proceedings, CEUR-WS.org, (2004)Feature Selection: A Useful Preprocessing Step.. BCS-IRSG Annual Colloquium on IR Research, BCS, (1997)Making a Computational Attorney., , , , , and . SDM, page 965-968. SIAM, (2023)Applying an existing machine learning algorithm to text categorization., and . Learning for Natural Language Processing, volume 1040 of Lecture Notes in Computer Science, page 343-354. Springer, (1995)Information access in practice: case studies at Thomson Reuters.. CORIA, page 5. Éditions Universitaires d'Avignon, (2011)Feature engineering on event-centric surrogate documents to improve search results., and . CIKM, page 1629-1632. ACM, (2009)Natural language processing for online applications. Text retrieval, extraction and categorization, and . Natural Language Processing Benjamins, Amsterdam, Philadelphia, (2002)West Group at CLEF2000: Non-English Monolingual Retrieval., , and . CLEF (Working Notes), volume 1166 of CEUR Workshop Proceedings, CEUR-WS.org, (2000)Thomson Legal and Regulatory Experiments for CLEF 2002., and . CLEF (Working Notes), volume 1168 of CEUR Workshop Proceedings, CEUR-WS.org, (2002)Natural language processing for online applications : text retrieval, extraction and categorization, and . John Benjamins, (2007)