What can and cannot Be found in Czech spontaneous speech using document-oriented IR methods - UWB at CLEF 2007 CL-SR track

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5152 LNCS, Issue , 2008, Pages 712-718

  Ircing, Pavel ^a   Psutka, Josef ^a   Vavruška, Jan ^a  

^a UNIVERSITY OF WEST BOHEMIA   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

IR METHODS; LINGUISTIC PREPROCESSINGS; RELEVANCE FEEDBACK; SPONTANEOUS SPEECH;

LINGUISTICS;

EID: 70349832146     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85760-0_90     Document Type: Conference Paper

References (7)

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2. Ircing, P., M̈uller, L.: Bene.t of Proper Language Processing for Czech Speech Retrieval in the CL-SR Task at CLEF 2006. In: Peters, C., Clough, P., Gey, F.C., Karlgren, J., Magnini, B., Oard, D.W., de Rijke, M., Stempfhuber, M. (eds.) CLEF 2006. LNCS, vol.4730. Springer, Heidelberg (2007)
3. Hajic, J.: Disambiguation of Rich In.ection (Computational Morphology of Czech), Karolinum, Prague (2004)
4. Carnegie Mellon University and the University of Massachusetts: The Lemur Toolkit for Language Modeling and Information Retrieval (2006), http://www.lemurproject.org/
5. Zhai, C.: Notes on the Lemur TFIDF model. Note with Lemur 1.9 documentation, School of CS, CMU (2001)
6. Robertson, S.,Walker, S.: Okapi/Keenbow at TREC-8. In: The Eight Text REtrieval Conference (TREC-8) (1999)
7. Liu, B., Oard, D.: One-Sided Measures for Evaluating Ranked Retrieval E.ectiveness with Spontaneous Conversational Speech. In: Proceedings of SIGIR 2006, Seattle, Washington, USA, pp. 673-674 (2006)