Header

UZH-Logo

Maintenance Infos

CLIR Evaluation at TREC Cross-Language Information Retrieval and Evaluation - Zurich Open Repository and Archive


Harmann, D; Braschler, M; Hess, M; Kluck, M; Peters, C; Schuble, P; Sheridan, P (2000). CLIR Evaluation at TREC Cross-Language Information Retrieval and Evaluation. London, UK: Springer.

Abstract

Starting in 1997, the National Institute of Standards and Technology conducted 3 years of evaluation of cross-language information retrieval systems in the Text REtrieval Conference (TREC). Twenty-two participating systems used topics (test questions) in one language to retrieve documents written in English, French, German, and Italian. A large-scale multilingual test collection has been built and a new technique for building such a collection in a distributed manner was devised.

Abstract

Starting in 1997, the National Institute of Standards and Technology conducted 3 years of evaluation of cross-language information retrieval systems in the Text REtrieval Conference (TREC). Twenty-two participating systems used topics (test questions) in one language to retrieve documents written in English, French, German, and Italian. A large-scale multilingual test collection has been built and a new technique for building such a collection in a distributed manner was devised.

Statistics

Additional indexing

Item Type:Monograph
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:410 Linguistics
000 Computer science, knowledge & systems
Language:English
Date:2000
Deposited On:23 Jun 2009 15:31
Last Modified:05 Apr 2017 05:37
Publisher:Springer
Related URLs:http://www.ifi.uzh.ch/pax/index.php/publication/show/id/216

Download

Full text not available from this repository.

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations