Evaluation of Multilingual and Multi-modal Information by Carol Peters (auth.), Carol Peters, Paul Clough, Fredric C. PDF

Read or Download 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 PDF

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Extra info for 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

Example text

4 Main Stream Bilingual Experiments The bilingual task was structured in four subtasks (X → BG, FR, HU or PT target collection) plus, as usual, an additional subtask with English as target language restricted to newcomers in a CLEF cross-language task. This year, in this subtask, we focussed in particular on non-European topic languages and in particular languages for which there are still few processing tools or resources in existence. We thus offered two Ethiopian languages: Amharic and Oromo; two Indian languages: Hindi and Telugu; and Indonesian.

Digital library information-technology infrastructures. International Journal on Digital Libraries 5, 266–274 (2005) 5. : A Data Curation Approach to Support In-depth Evaluation Studies. In: Proc. International Workshop on New Directions in Multilingual Information Access (MLIA 2006), pp. htm 6. : CLEF: Ongoing Activities and Plans for the Future. In: Proc. 6th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual Information Access, National Institute of Informatics, Tokyo, Japan, pp.

The MAP figures were above 45% for five out of six sub tasks. These numbers can be considered as state of the art. It is striking that the rankings based on the MAP is identical to the ranking based on the GMAP measure in most cases. gz CLEF 2006: Ad Hoc Track Overview 31 Table 6. 64% humES06Rtde reinaEStdtest dcudescsp12075 esFSesR2S 5th Diff. 32% CoLesIResTst Robust Bilingual Results Table 7 shows the best results for this task for runs using the title+description topic fields. The performance difference between the best and the last (up to 5) placed group is given (in terms of average precision).

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