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E-raamat: Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics: Third International Conference of the CLEF Initiative, CLEF 2012, Rome, Italy, September 17-20, 2012, Proceedings

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Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics: Third International Conference of the CLEF Initiative, CLEF 2012, Rome, Italy, September 17-20, 2012, ProceedingsSuurem pilt
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This book constitutes the proceedings of the Third International Conference of the CLEF Initiative, CLEF 2012, held in Rome, Italy, in September 2012. The 14 papers and 3 poster abstracts presented were carefully reviewed and selected for inclusion in this volume. Furthermore, the books contains 2 keynote papers. The papers are organized in topical sections named: benchmarking and evaluation initiatives; information access; and evaluation methodologies and infrastructure.
Analysis and Refinement of Cross-Lingual Entity Linking.- Seven Years of
INEX Interactive Retrieval Experiments Lessons and Challenges.- Bringing
the Algorithms to the Data: CloudBased Benchmarking
for Medical Image Analysis.- Going beyond CLEF-IP: The Reality for Patent
Searchers?.- MusiClef: Multimodal Music Tagging Task.- Information Access
Generating Pseudo Test Collections for Learning to Rank Scientific
Articles.- Effects of Language and Topic Size in Patent IR: An Empirical
Study.- Cross-Language High Similarity Search Using a Conceptual Thesaurus.-
The Appearance of the Giant Component in Descriptor Graphs and Its
Application for Descriptor Selection.- Hidden Markov Model for Term Weighting
in Verbose Queries.- Evaluation Methodologies and Infrastructure DIRECTions:
Design and Specification of an IR Evaluation
Infrastructure.- Penalty Functions for Evaluation Measures of Unsegmented
Speech Retrieval.- Cumulated Relative Position: A Metric for Ranking
Evaluation.- Better than Their Reputation? On the Reliability of Relevance
Assessments with Students.- Comparing IR System Components Using Beanplots.-
Language Independent Query Focused Snippet Generation.- A Test Collection to
Evaluate Plagiarism by Missing or Incorrect References.
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