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Savoy, Jacques
Nom
Savoy, Jacques
Affiliation principale
Fonction
Professeur.e ordinaire
Email
jacques.savoy@unine.ch
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Voici les éléments 1 - 6 sur 6
- PublicationMétadonnées seulementSearching strategies for the Hungarian language(2008)This paper reports on the underlying IR problems encountered when dealing with the complex morphology and compound constructions found in the Hungarian language. It describes evaluations carried out on two general stemming strategies for this language, and also demonstrates that a light stemming approach could be quite effective. Based on searches done on the CLEF test collection, we find that a more aggressive suffix-stripping approach may produce better MAP. When compared to an IR scheme without stemming or one based on only a light stemmer, we find the differences to be statistically significant. When compared with probabilistic, vector-space and language models, we find that the Okapi model results in the best retrieval effectiveness. The resulting MAP is found to be about 35% better than the classical tf Of approach, particularly for very short requests. Finally, we demonstrate that applying an automatic decompounding procedure for both queries and documents significantly improves IR performance (+10%), compared to word-based indexing strategies. (c) 2007 Elsevier Ltd. All rights reserved.
- PublicationMétadonnées seulementBibliographic database access using free-text and controlled vocabulary: an evaluation(2005)This paper evaluates and compares the retrieval effectiveness of various search models, based on either automatic text-word indexing or on manually assigned controlled descriptors. Retrieval is from a relatively large collection of bibliographic material written in French. Moreover, for this French collection we evaluate improvements that result from combining automatic and manual indexing. First, when considering various contexts, this study reveals that the combined indexing strategy always obtains the best retrieval performance. Second, when users wish to conduct exhaustive searches with minimal effort, we demonstrate that manually assigned terms are essential. Third, the evaluations presented in this paper study reveal the comparative retrieval performances that result from manual and automatic indexing in a variety of circumstances. (c) 2004 Elsevier Ltd. All rights reserved.
- PublicationMétadonnées seulementCombining multiple strategies for effective monolingual and cross-language retrieval(2004)This paper describes and evaluates different retrieval strategies that are useful for search operations on document collections written in various European languages, namely French, Italian, Spanish and German. We also suggest and evaluate different query translation schemes based on freely available translation resources. In order to cross language barriers, we propose a combined query translation approach that has resulted in interesting retrieval effectiveness. Finally, we suggest a collection merging strategy based on logistic regression that tends to perform better than other merging approaches.
- PublicationMétadonnées seulementCross-language information retrieval: experiments based on CLEF 2000 corpora(2003)Search engines play an essential role in the usability of Internet-based information systems and without them the Web would be much less accessible, and at the very least would develop at a much slower rate. Given that non-English users now tend to make up the majority in this environment, our main objective is to analyze and evaluate the retrieval effectiveness of various indexing and search strategies based on test-collections written in four different languages: English, French, German, and Italian. Our second objective is to describe and evaluate various approaches that might be implemented in order to effectively access document collections written in another language. As a third objective, we will explore the underlying problems involved in searching document collections written in the four different languages, and we will suggest and evaluate different database merging strategies capable of providing the user with a single unique result list. (C) 2002 Published by Elsevier Science Ltd.
- PublicationMétadonnées seulementResult merging strategies for a current news metasearcher(2003)
- PublicationMétadonnées seulementRetrieval effectiveness on the web(2001)
; Picard, JustinSearch engines play an essential role in the usability of Internet-based information systems and without them the web would certainly break down or, at the very least would develop at a much slower rate. Our main objective is to analyze and evaluate the retrieval effectiveness of various indexing and searching strategics on a new web text collection, using a rigorous evaluation methodology. Our second aim is to describe and evaluate different preprocessing techniques that might be implemented in order to improve retrieval effectiveness. As a third objective, this paper will evaluate whether or not hyperlinks may serve as useful sources of evidence in improving retrieval algorithms. (C) 2001 Elsevier Science Ltd. All rights reserved.