Title
Creating a Dutch Information Retrieval Test Corpus
Abstract
This paper describes the first large-scale evaluation of information retrieval systems using Dutch documents and queries. We describe in detail the characteristics of the Dutch test data, which is part of the official CLEF multilingual test corpus, and give an overview of the experimental results of companies and research institutions that participated in the first official Dutch CLEF experiments. Judging from these experiments, the handling of language-specific issues of Dutch, like for instance simple morphology and compound nouns, significantly improves the performance of information retrieval systems in many cases. Careful examination of the test collection shows that it serves as a reliable tool for the evaluation of information retrieval systems in the future.
Year
Venue
Keywords
2001
LANGUAGE AND COMPUTERS : STUDIES IN PRACTICAL LINGUISTICS
information retrieval system,satisfiability,information retrieval,noun
Field
DocType
Issue
Human–computer information retrieval,Information retrieval,Computer science,Noun,Relevance (information retrieval),Test data,Natural language processing,Artificial intelligence,Clef
Conference
45.0
ISSN
Citations 
PageRank 
0921-5034
0
0.34
References 
Authors
15
2
Name
Order
Citations
PageRank
Djoerd Hiemstra11781186.21
David van Leeuwen2447.06