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Experimental IR Meets Multilinguality, Multimodality, and Interaction

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Cover of 'Experimental IR Meets Multilinguality, Multimodality, and Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 A Pinch of Humor for Short-Text Conversation: An Information Retrieval Approach
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    Chapter 2 A Component-Level Analysis of an Academic Search Test Collection.
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    Chapter 3 A Component-Level Analysis of an Academic Search Test Collection.
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    Chapter 4 Improving the Reliability of Query Expansion for User-Generated Speech Retrieval Using Query Performance Prediction
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    Chapter 5 Optimized Convolutional Neural Network Ensembles for Medical Subfigure Classification
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    Chapter 6 IRIT-QFR: IRIT Query Feature Resource
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    Chapter 7 Evaluating and Improving the Extraction of Mathematical Identifier Definitions
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    Chapter 8 Query Expansion for Sentence Retrieval Using Pseudo Relevance Feedback and Word Embedding
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    Chapter 9 WebShodh: A Code Mixed Factoid Question Answering System for Web
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    Chapter 10 Extracting Graph Topological Information and Users’ Opinion
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    Chapter 11 Estimating the Similarities Between Texts of Right-Handed and Left-Handed Males and Females
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    Chapter 12 Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search
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    Chapter 13 Plausibility Testing for Lexical Resources
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    Chapter 14 An Improved Impostors Method for Authorship Verification
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    Chapter 15 Comparison of Character n-grams and Lexical Features on Author, Gender, and Language Variety Identification on the Same Spanish News Corpus
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    Chapter 16 Enriching Existing Test Collections with OXPath
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    Chapter 17 A Highly Available Real-Time News Recommender Based on Apache Spark
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    Chapter 18 The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation
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    Chapter 19 Author Clustering with an Adaptive Threshold
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    Chapter 20 Segmenting Compound Biomedical Figures into Their Constituent Panels
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    Chapter 21 An Analysis of Cross-Genre and In-Genre Performance for Author Profiling in Social Media
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    Chapter 22 TimeLine Illustration Based on Microblogs: When Diversification Meets Metadata Re-ranking
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    Chapter 23 CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education
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    Chapter 24 LifeCLEF 2017 Lab Overview: Multimedia Species Identification Challenges
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    Chapter 25 Overview of PAN’17
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    Chapter 26 CLEF 2017 eHealth Evaluation Lab Overview
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    Chapter 27 CLEF 2017 Microblog Cultural Contextualization Lab Overview
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    Chapter 28 Overview of ImageCLEF 2017: Information Extraction from Images
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    Chapter 29 Overview of the CLEF 2017 Personalised Information Retrieval Pilot Lab (PIR-CLEF 2017)
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    Chapter 30 eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations
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    Chapter 31 CLEF 2017 Dynamic Search Evaluation Lab Overview
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    Chapter 32 CLEF 2017: Multimodal Spatial Role Labeling (mSpRL) Task Overview
Overall attention for this book and its chapters
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1 Wikipedia page

Citations

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Title
Experimental IR Meets Multilinguality, Multimodality, and Interaction
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-65813-1
ISBNs
978-3-31-965813-1, 978-3-31-965812-4
Editors

Gareth J.F. Jones, Séamus Lawless, Julio Gonzalo, Liadh Kelly, Lorraine Goeuriot, Thomas Mandl, Linda Cappellato, Nicola Ferro

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
United States 1 <1%
Unknown 189 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 31%
Student > Master 38 20%
Student > Bachelor 13 7%
Researcher 11 6%
Professor 9 5%
Other 22 12%
Unknown 39 20%
Readers by discipline Count As %
Computer Science 108 57%
Engineering 8 4%
Social Sciences 5 3%
Business, Management and Accounting 3 2%
Agricultural and Biological Sciences 3 2%
Other 15 8%
Unknown 49 26%