Cross-Language Evaluation Forum: Objectives, Results, Achievements

Braschler, Martín; Peters, Carol

doi:10.1023/b:inrt.0000009438.69013.fa

Cited by 65 publications

(31 citation statements)

References 40 publications

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“…The document collections for this year's GeoCLEF experiments consists of newspaper and newswire stories from the years 1994 and 1995 used in previous CLEF ad-hoc evaluations [1]. The Portuguese, English and German collections contain stories covering international and national news events, therefore representing a wide variety of geographical regions and places.…”

Section: Document Collections Used In Geoclef 2007mentioning

confidence: 99%

GeoCLEF: The CLEF 2005 Cross-Language Geographic Information Retrieval Track Overview

Gey

Larson

Sanderson

et al. 2006

Lecture Notes in Computer Science

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Abstract. GeoCLEF ran as a regular track for the second time within the Cross Language Evaluation Forum (CLEF) 2007. The purpose of GeoCLEF is to test and evaluate cross-language geographic information retrieval (GIR): retrieval for topics with a geographic specification. GeoCLEF 2007 consisted of two sub tasks. A search task ran for the third time and a query classification task was organized for the first. For the GeoCLEF 2007 search task, twenty-five search topics were defined by the organizing groups for searching English, German, Portuguese and Spanish document collections. All topics were translated into English, Indonesian, Portuguese, Spanish and German. Several topics in 2007 were geographically challenging. Thirteen groups submitted 108 runs. The groups used a variety of approaches. For the classification task, a query log from a search engine was provided and the groups needed to identify the queries with a geographic scope and the geographic components within the local queries.

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Section: Document Collections Used In Geoclef 2007mentioning

confidence: 99%

GeoCLEF: The CLEF 2005 Cross-Language Geographic Information Retrieval Track Overview

Gey

Larson

Sanderson

et al. 2006

Lecture Notes in Computer Science

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“…With these new modules, our group is now taking the first steps to include the basic set of components required for serious participation on in this kind of IR task -robust stemming, weighting scheme and blind feedback [3].…”

Section: Improvementsmentioning

confidence: 99%

The XLDB Group at the CLEF 2005 Ad-Hoc Task

Cardoso

Andrade

Simões

et al. 2006

Lecture Notes in Computer Science

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“…For a general overview of these issues, see [11]). In our approach, when a request was received (in English in this study), we automatically translated it into the desired target languages and then searched for pertinent items within each of the four corpora (English, French, Finnish and Russian).…”

Section: Multilingual Information Retrievalmentioning

confidence: 99%

Selection and Merging Strategies for Multilingual Information Retrieval

Savoy

Berger

2005

Multilingual Information Access for Text, Speech and Images

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Abstract. In our fourth participation in the CLEF evaluation campaigns, our objective was to verify whether our combined query translation approach would work well with new requests and new languages (Russian and Portuguese in this case). As a second objective, we were to suggest a selection procedure able to extract a smaller number of documents from collections that seemed to contain no or only a few relevant items for the current request. We also applied different merging strategies in order to obtain more evidence about their respective relative merits.

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Cross-Language Evaluation Forum: Objectives, Results, Achievements

Cited by 65 publications

References 40 publications

GeoCLEF: The CLEF 2005 Cross-Language Geographic Information Retrieval Track Overview

GeoCLEF: The CLEF 2005 Cross-Language Geographic Information Retrieval Track Overview

The XLDB Group at the CLEF 2005 Ad-Hoc Task

Selection and Merging Strategies for Multilingual Information Retrieval

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