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Federated search in the wild: the combined power of over a hundred search engines.

, , , and . CIKM, page 1874-1878. ACM, (2012)

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TNO Hierarchical topic detection report at TDT 2004, and . Topic Detection and Tracking Workshop Report, (2004)Parsimonious concept modeling., , , and . SIGIR, page 815-816. ACM, (2008)Biomedical cross-language information retrieval.. SIGIR, page 897. ACM, (2008)"How Old Do You Think I Am?" A Study of Language and Age in Twitter., , , and . ICWSM, The AAAI Press, (2013)Concept Based Document Retrieval for Genomics Literature., , and . TREC, volume 500-272 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2006)Automatic classification of folk narrative genres., , , and . KONVENS, volume 5 of Scientific series of the ÖGAI, page 378-382. ÖGAI, Wien, Österreich, (2012)MeSH Up: effective MeSH text classification for improved document retrieval, , , , , and . Bioinformatics, 25 (11): 1412-1418 (April 2009)Learning to Extract Folktale Keywords., , and . LaTeCH@ACL, page 65-73. The Association for Computer Linguistics, (2013)DutchHatTrick: Semantic Query Modeling, ConText, Section Detection, and Match Score Maximization., , and . TREC, volume 500-296 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2011)Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment., , , , , , and . COLING, page 1950-1961. ACL, (2014)