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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

Carol Peters ; Paul Clough ; Fredric C. Gey ; Jussi Karlgren ; Bernardo Magnini ; Douglas W. Oard ; Maarten de Rijke ; Maximilian Stempfhuber (eds.)

En conferencia: 7º Workshop of the Cross-Language Evaluation Forum for European Languages (CLEF) . Alicante, Spain . September 20, 2006 - September 22, 2006

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Information Storage and Retrieval; Artificial Intelligence (incl. Robotics); Information Systems Applications (incl. Internet); Language Translation and Linguistics; Data Mining and Knowledge Discovery

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2007 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-74998-1

ISBN electrónico

978-3-540-74999-8

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2007

Tabla de contenidos

What Happened in CLEF 2006

Carol Peters

The organization of the CLEF 2006 evaluation campaign is described and details are provided concerning the tracks, test collections, evaluation infrastructure, and participation.

- Introduction | Pp. 1-10

A Penalisation-Based Ranking Approach for the Mixed Monolingual Task of WebCLEF 2006

David Pinto; Paolo Rosso; Ernesto Jiménez

This paper presents an approach of a cross-lingual information retrieval which uses a ranking method based on a penalisation version of the Jaccard formula. The obtained results after the submission of a set of runs to the WebCLEF 2006 have shown that this simple ranking formula may be used in a cross-lingual environment. A comparison with runs submitted by other teams ranks us in a third place by using all the topics. A fourth place is obtained with our best overall results by using only the new topic set, and a second place was got by using only the automatic topics of the new topic set. An exact comparison with the rest of the participants is in fact difficult to obtain and, therefore, we consider that further detailed analysis of the components should be done in order to determine the best components of the proposed system.

- Part VII: Multilingual Web Track (WebCLEF) | Pp. 826-829