Inference networks for document retrieval
Inference networks for document retrieval
Natural language vs. Boolean query evaluation: a comparison of retrieval performance
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Stemming algorithms: a case study for detailed evaluation
Journal of the American Society for Information Science - Special issue: evaluation of information retrieval systems
Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Monolingual Document Retrieval for European Languages
Information Retrieval
How Effective is Stemming and Decompounding for German Text Retrieval?
Information Retrieval
Stemming and decompounding for German text retrieval
ECIR'03 Proceedings of the 25th European conference on IR research
Automatic morphological query expansion using analogy-based machine learning
ECIR'07 Proceedings of the 29th European conference on IR research
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West Group participated in the non-English monolingual retrieval task for French and German. Our primary interest was to investigate whether retrieval of German or French documents was any different from the retrieval of English documents. We focused on two aspects: stemming for both languages and compound breaking for German. In particular, we studied several query formulations to take advantage of German compounds. Our results suggest that German retrieval is indeed different from English or French retrieval, inasmuch as accounting for compounds can significantly improve performance.