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Experimental IR Meets Multilinguality, Multimodality, and Interaction

Overview of attention for book
Cover of 'Experimental IR Meets Multilinguality, Multimodality, and Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 What Happened in CLEF $$\ldots $$ For a While?
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    Chapter 2 Crosslingual Depression Detection in Twitter Using Bilingual Word Alignments
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    Chapter 3 Studying the Variability of System Setting Effectiveness by Data Analytics and Visualization
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    Chapter 4 Stance Detection in Web and Social Media: A Comparative Study
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    Chapter 5 TwitCID: A Collection of Data Sets for Studies on Information Diffusion on Social Networks
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    Chapter 6 Sonny, Cerca! Evaluating the Impact of Using a Vocal Assistant to Search at School
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    Chapter 7 Generating Cross-Domain Text Classification Corpora from Social Media Comments
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    Chapter 8 Efficient Answer-Annotation for Frequent Questions
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    Chapter 9 Improving Ranking for Systematic Reviews Using Query Adaptation
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    Chapter 10 Analyzing the Adequacy of Readability Indicators to a Non-English Language
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    Chapter 11 How Many Labels? Determining the Number of Labels in Multi-Label Text Classification
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    Chapter 12 Using Audio Transformations to Improve Comprehension in Voice Question Answering
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    Chapter 13 A User Modeling Shared Challenge Proposal
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    Chapter 14 How Lexical Gold Standards Have Effects on the Usefulness of Text Analysis Tools for Digital Scholarship
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    Chapter 15 Personality Facets Recognition from Text
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    Chapter 16 Unsupervised System Combination for Set-Based Retrieval with Expectation Maximization
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    Chapter 17 An Ensemble Approach to Cross-Domain Authorship Attribution
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    Chapter 18 Evaluation of Deep Species Distribution Models Using Environment and Co-occurrences
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    Chapter 19 Interactive Learning-Based Retrieval Technique for Visual Lifelogging
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    Chapter 20 An Effective Deep Transfer Learning and Information Fusion Framework for Medical Visual Question Answering
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    Chapter 21 Language Modeling in Temporal Mood Variation Models for Early Risk Detection on the Internet
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    Chapter 22 Medical Image Labelling and Semantic Understanding for Clinical Applications
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    Chapter 23 To Check or Not to Check: Syntax, Semantics, and Context in the Language of Check-Worthy Claims
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    Chapter 24 Overview of CENTRE@CLEF 2019: Sequel in the Systematic Reproducibility Realm
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    Chapter 25 Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims
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    Chapter 26 Overview of the CLEF eHealth Evaluation Lab 2019
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    Chapter 27 Overview of eRisk 2019 Early Risk Prediction on the Internet
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    Chapter 28 ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature
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    Chapter 29 Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction
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    Chapter 30 Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection
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    Chapter 31 Overview of the CLEF 2019 Personalised Information Retrieval Lab (PIR-CLEF 2019)
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    Chapter 32 Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-Context Setting
Overall attention for this book and its chapters
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Mentioned by

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18 X users
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1 Wikipedia page

Citations

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Readers on

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Title
Experimental IR Meets Multilinguality, Multimodality, and Interaction
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-28577-7
ISBNs
978-3-03-028576-0, 978-3-03-028577-7
Editors

Crestani, Fabio, Braschler, Martin, Savoy, Jacques, Rauber, Andreas, Müller, Henning, Losada, David E., Heinatz Bürki, Gundula, Cappellato, Linda, Ferro, Nicola

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X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 29%
Student > Doctoral Student 4 29%
Student > Master 2 14%
Student > Ph. D. Student 2 14%
Lecturer 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 5 36%
Engineering 3 21%
Linguistics 1 7%
Environmental Science 1 7%
Agricultural and Biological Sciences 1 7%
Other 1 7%
Unknown 2 14%

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