Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Phrasal translation and query expansion techniques for cross-language information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
EuroWordNet: a multilingual database with lexical semantic networks
EuroWordNet: a multilingual database with lexical semantic networks
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Query Expansion Techniques for the CLEF Bilingual Track
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
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As Internet resources become accessible worldwide, need to develop efficient methods for information retrieval across languages becomes primordial. In the present paper, we focus on query expansion techniques to improve the effectiveness of information retrieval. A combination to a dictionary-based translation and statistical-based disambiguation is indispensable to overcome translation's ambiguity. We propose a model, which uses multiple sources for query reformulation and expansion to select expansion terms and retrieve information needed by a user. Relevance feedback, thesaurus-based expansion, as well as a new feedback strategy, based on the extraction of domain keywords to expand user's query, are introduced and evaluated. We evaluated the effectiveness of the proposed combined method using an application of a French-English information retrieval.