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She is an active member of the biomedical text-mining community, and one of the first researchers in the area of text mining and information retrieval for bioinformatics. ... She works in the area of machine learning and its application to biomedical data. ... Very recently a new track, TREC Genomics, concerned with the retrieval of genomic data from the literature and from other sources, has been formed. 14 The TREC Genomics effort, as well as another recent ...doi:10.1093/bib/6.3.222 pmid:16212771 fatcat:2liwpccfq5dhza5mmdw66q7m2m
We combine various ideas from the large body of literature on approximate string searching and spelling correction techniques to a new algorithm for the spelling variants clustering problem that is both ... This problem naturally arises in the context of error-tolerant full-text search of the following kind: For a given query, return not only documents matching the query words exactly but also those matching ... Wikipedia is the (November 2007 dump of the) English Wikipedia with about 3 million documents. Terabyte is our largest collection, the standard TREC .GOV collection with about 25 millions documents. ...doi:10.1145/1529282.1529669 dblp:conf/sac/CelikikB09 fatcat:gksr2hzdmjhfhe5ip56jaol6ji
Experiments in the WebKB and Cora databases showed significant improvement in the recall and precision rates yielded with respect to well known information retrieval techniques. last, research was done ... information criterion with alternative criteria, modelling of the speech features with the generalised Gamma distribution, use of transformations and robust statistics in model selection. ... is significantly better than the Probabilistic Lantent Semantic Indexing algorithm for high recall rates, while the two algorithms demonstrate comparative precision rates in low and medium recall rates ...doi:10.26262/heal.auth.ir.108629 fatcat:tmep3k5dafaqlonpfj7zvs7xxq