Overview of WebCLEF 2006

Autor: Balog, K., Azzopardi, L., Kamps, J., de Rijke, M., Peters, C., Clough, P., Gey, F.C., Karlgren, J., Magnini, B., Oard, D.W., Stempfhuber, M.
Přispěvatelé: Information and Language Processing Syst (IVI, FNWI), Language and Computation (ILLC, FNWI/FGw)
Jazyk: angličtina
Rok vydání: 2007
Předmět:
Zdroj: Evaluation of Multilingual and Multi-modal Information Retrieval ISBN: 9783540749981
CLEF (Working Notes)
Scopus-Elsevier
Evaluation of Multilingual and Multi-modal Information Retrieval: 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain, September 20-22, 2006 : revised selected papers, 803-819
STARTPAGE=803;ENDPAGE=819;TITLE=Evaluation of Multilingual and Multi-modal Information Retrieval
DOI: 10.1007/978-3-540-74999-8_101
Popis: We report on the CLEF 2006 WebCLEF track devoted to crosslingual web retrieval. We provide details about the retrieval tasks, the used topic set, and the results of the participants. WebCLEF 2006 used a stream of known-item topics consisting of: (i) manual topics (including a selection of WebCLEF 2005 topics, and a set of new topics) and (ii) automatically generated topics (generated using two techniques). The results over all topics show that current CLIR systems are very effective, retrieving on average the target page in the top ranks. Manually constructed topics result in higher performance than and automatically generated ones. And finally, the resulting scores on automatic topics provide a reasonable ranking of the systems, showing that automatically generated topics are an attractive alternative in situations where manual topics are not readily available.
Databáze: OpenAIRE