Abstract
This paper describes the participation of our company formerly named Cadege / Hossur Tech and called now Geol Semantics in the task of filtering interactive CLEF 2009 INFILE and enhancements added after the experiment.
The Interactive filtering is something different from traditional information retrieval systems. In CLEF 2009 INFILE adaptive filtering task we have only the knowledge about the 50 different topics which are used as queries and nothing about the input corpus to filter. Documents are received and filtered one by one.
The fact that we know nothing about the corpus of the documents to filter, we were forced to use a linguistic approach for this filtering task. We have performed two CLEF 2009 INFILE interactive filtering French to French and French to English tasks, based on a deep linguistic process by using our own linguistic dictionaries.
ACM categories and subject descriptors: H.3.3 Information Search and Retrieval, Information filtering
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References
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The TREC 2001 Filtering Track Report, Stephen Robertson (Microsoft Research Cambridge,Uk), Ian Soboroff (NIST, USA), Gaitherburg, MD,USA (November 2001)
Besançon, R., Chaudiron, S., Mostefa, D., Timimi, I., Choukri, K.: The InFile project: a crosslingual filtering systems evaluation campaign. In: Peters, C., Deselaers, T., Ferro, N., Gonzalo, J., Jones, G.J.F., Kurimo, M., Mandl, T., Peñas, A., Petras, V. (eds.) CLEF 2008. LNCS, vol. 5706, Springer, Heidelberg (2009)
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Ronald, J.A.C., Rossi, A., Fluhr, C. (2010). Hossur’Tech’s Participation in CLEF 2009 INFILE Interactive Filtering. In: Peters, C., et al. Multilingual Information Access Evaluation I. Text Retrieval Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15754-7_45
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DOI: https://doi.org/10.1007/978-3-642-15754-7_45
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