SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Optimal document-indexing vocabulary for MEDLINE
Information Processing and Management: an International Journal - Special issue: history of information science
Fast and effective query refinement
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Statistical inference in retrieval effectiveness evaluation
Information Processing and Management: an International Journal
Experimentation as a way of life: Okapi at TREC
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Bibliographic database access using free-text and controlled vocabulary: an evaluation
Information Processing and Management: an International Journal
Adapting the tf idf vector-space model to domain specific information retrieval
Proceedings of the 2010 ACM Symposium on Applied Computing
UniNE at CLEF 2008: TEL, and Persian IR
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
UniNE at domain-specific IR: CLEF 2008
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
On the potential search effectiveness of MeSH (medical subject headings) terms
Proceedings of the third symposium on Information interaction in context
Biomedical information retrieval: the BioTracer approach
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
Ad hoc retrieval with the Persian language
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
AskHERMES: An online question answering system for complex clinical questions
Journal of Biomedical Informatics
Combining global and local semantic contexts for improving biomedical information retrieval
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Quantifying the impact of concept recognition on biomedical information retrieval
Information Processing and Management: an International Journal
Supporting biomedical information retrieval: the bioTracer approach
Transactions on large-scale data- and knowledge-centered systems IV
Web Semantics: Science, Services and Agents on the World Wide Web
Re-ranking with context for high-performance biomedical information retrieval
International Journal of Data Mining and Bioinformatics
Artificial Intelligence in Medicine
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Based on a relatively large subset representing one third of the Medline collection, this paper evaluates ten different IR models, including recent developments in both probabilistic and language models. We show that the best performing IR models is a probabilistic model developed within the Divergence from Randomness framework [Amati, G., & van Rijsbergen, C.J. (2002) Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM-Transactions on Information Systems 20(4), 357-389], which result in 170% enhancements in mean average precision when compared to the classical tf idf vector-space model. This paper also reports on our impact evaluations on the retrieval effectiveness of manually assigned descriptors (MeSH or Medical Subject Headings), showing that by including these terms retrieval performance can improve from 2.4% to 13.5%, depending on the underling IR model. Finally, we design a new general blind-query expansion approach showing improved retrieval performances compared to those obtained using the Rocchio approach.