By Carol Peters (auth.), Carol Peters, Martin Braschler, Julio Gonzalo (eds.)
This booklet provides the completely refereed post-proceedings of a workshop through the Cross-Language assessment discussion board crusade, CLEF 2002, held in Rome, Italy in September 2002.
The forty three revised complete papers provided including an advent and run info in an appendix have been rigorously reviewed and revised upon presentation on the workshop. The papers are equipped in topical sections on structures review experiments, pass language and extra, monolingual experiments, regularly domain-specific info retrieval, interactive concerns, cross-language spoken record retrieval, and cross-language assessment concerns and initiatives.
Read or Download Advances in Cross-Language Information Retrieval: Third Workshop of the Cross-Language Evaluation Forum, CLEF 2002 Rome, Italy, September 19–20, 2002 Revised Papers PDF
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Additional info for Advances in Cross-Language Information Retrieval: Third Workshop of the Cross-Language Evaluation Forum, CLEF 2002 Rome, Italy, September 19–20, 2002 Revised Papers
Only one group retrieved the document with a score high enough to have it included in the judgment pool. This addresses the concern that systems not directly participating in the evaluation are unfairly penalized. Subtracting relevant documents only found by a certain group, and then reevaluating the results for this group, simulates the scenario that this group was a non-participant. The CLEF 2002 – Overview of Results 23 smaller the change in performance that is observed, the higher is the probability that the relevance assessments are sufficiently complete.
All of our runs used only the title and desc ﬁelds in the topics. We mainly worked on improving the performances of monolingual retrieval and bilingual retrieval by query expansion and word decompounding since we believe that improved performances in monolingual and bilingual retrieval should ultimately lead to better performance in multilingual retrieval. For all of our runs in the bilingual and multilingual tasks, the topics were translated into the document languages. 0. We also used parallel English/French texts in one 30 Aitao Chen of the English-to-French retrieval runs.
The latter two approaches do not involve merging two or more ranked lists of documents, one for each document language, to form a combined ranked list of documents in all document languages. Most participating groups of the multilingual retrieval tasks in the TREC or CLEF evaluation conferences applied the ﬁrst approach. Translating large collections of documents in multiple languages into topic languages requires the availability of machine translation systems that support the necessary language pairs, which is sometimes problematic.