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Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics

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Cover of 'Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Analysis and Refinement of Cross-Lingual Entity Linking
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    Chapter 2 Seven Years of INEX Interactive Retrieval Experiments – Lessons and Challenges
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    Chapter 3 Bringing the Algorithms to the Data: Cloud–Based Benchmarking for Medical Image Analysis
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    Chapter 4 Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics
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    Chapter 5 Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics
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    Chapter 6 Generating Pseudo Test Collections for Learning to Rank Scientific Articles
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    Chapter 7 Effects of Language and Topic Size in Patent IR: An Empirical Study
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    Chapter 8 Cross-Language High Similarity Search Using a Conceptual Thesaurus
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    Chapter 9 The Appearance of the Giant Component in Descriptor Graphs and Its Application for Descriptor Selection
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    Chapter 10 Hidden Markov Model for Term Weighting in Verbose Queries
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    Chapter 11 DIRECTions: Design and Specification of an IR Evaluation Infrastructure
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    Chapter 12 Penalty Functions for Evaluation Measures of Unsegmented Speech Retrieval
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    Chapter 13 Cumulated Relative Position: A Metric for Ranking Evaluation
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    Chapter 14 Better than Their Reputation? On the Reliability of Relevance Assessments with Students
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    Chapter 15 Comparing IR System Components Using Beanplots
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    Chapter 16 Language Independent Query Focused Snippet Generation
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    Chapter 17 A Test Collection to Evaluate Plagiarism by Missing or Incorrect References
Overall attention for this book and its chapters
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56 Mendeley
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Title
Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics
Published by
Springer Berlin Heidelberg, January 2012
DOI 10.1007/978-3-642-33247-0
ISBNs
978-3-64-233246-3, 978-3-64-233247-0
Editors

Tiziana Catarci, Pamela Forner, Djoerd Hiemstra, Anselmo Peñas, Giuseppe Santucci

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Germany 1 2%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 11%
Researcher 4 7%
Professor > Associate Professor 2 4%
Student > Master 2 4%
Student > Doctoral Student 1 2%
Other 2 4%
Unknown 39 70%
Readers by discipline Count As %
Computer Science 9 16%
Linguistics 2 4%
Social Sciences 2 4%
Business, Management and Accounting 1 2%
Unknown 42 75%