ACM Transactions on Information Systems (TOIS)
Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Applying Machine Learning to Text Segmentation for Information Retrieval
Information Retrieval
A dual index model for contextual information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive semantic smoothing for the language modeling approach to genomic IR
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Concept-based biomedical text retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Knowledge-intensive conceptual retrieval and passage extraction of biomedical literature
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
An empirical study of tokenization strategies for biomedical information retrieval
Information Retrieval
A study of learning a merge model for multilingual information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Discriminative probabilistic models for passage based retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Genomics information retrieval using a Bayesian model for learning and re-ranking
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Extracting multiple news attributes based on visual features
Journal of Intelligent Information Systems
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In this paper, we first propose algorithms for passage extraction to build indices for the purpose of generating more accurate passages as query answers. Second, we propose a basic result combination method and an improved result combination method to combine the retrieved results from different indices for the purpose of selecting and merging relevant passages as outputs. For passage extraction, three new algorithms are proposed, namely paragraphParsed, sentenceParsed and wordSentenceParsed. For result combination, a novel method is proposed, in which we use factor analysis to generate a better baseline result for combination by finding some hidden common factors that can be used to estimate the importance of keywords and keyword associations. Finally, we report the experimental results that confirm the effectiveness and superiority of the factor analysis based method for result combination. Our proposed approaches achieve excellent results on the TREC 2006 and 2007 Genomics data sets, which provide a promising avenue for constructing high performance information retrieval systems in biomedicine.