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Novelty detection via topic modeling in research articles
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1 QUERY AND DOCUMENT EXPANSION IN TEXT RETRIEVAL Clara Isabel Cabezas University of Maryland College Park May, 2 nd 2000.
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probabilistic ranking
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1 Advanced information retrieval Chapter. 05: Query Reformulation.
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Evaluation. Allan, Ballesteros, Croft, and/or Turtle Types of Evaluation Might evaluate several aspects Evaluation generally comparative –System A vs.
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Chapter 5: Query Operations Baeza-Yates, 1999 Modern Information Retrieval.
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Learning Techniques for Information Retrieval We cover 1.Perceptron algorithm 2.Least mean square algorithm 3.Chapter 5.2 User relevance feedback (pp.118-123)
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WXGB6106 INFORMATION RETRIEVAL Week 3 RETRIEVAL EVALUATION.
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Hybrid Systems for Information Extraction and Question Answering Presented By Rani Qumsiyeh.
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Evaluation of IR LIS531H. Why eval? When designing and using a system there are decisions to be made: Manual or automatic indexing? Controlled vocabularies.
216 views
MIRACLE Multilingual Information RetrievAl for the CLEF campaign DAEDALUS – Data, Decisions and Language, S.A. Universidad Carlos III de.
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Information Extraction
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