Experimental IR Meets Multilinguality, Multimodality, and Interaction

1. Front Matter

   Pages I-XVIII

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2. Full Papers

   1. Front Matter

      Pages 1-1

      PDF

   2. Deep Multimodal Classification of Image Types in Biomedical Journal Figures

      • Vincent Andrearczyk, Henning Müller

      Pages 3-14

   3. Multi-view Personality Profiling Based on Longitudinal Data

      • Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov

      Pages 15-27

   4. Using R Markdown for Replicable Experiments in Evidence Based Medicine

      • Giorgio Maria Di Nunzio, Federica Vezzani

      Pages 28-39

   5. Rethinking the Evaluation Methodology of Authorship Verification Methods

      • Oren Halvani, Lukas Graner

      Pages 40-51

   6. Learning-to-Rank and Relevance Feedback for Literature Appraisal in Empirical Medicine

      • Athanasios Lagopoulos, Antonios Anagnostou, Adamantios Minas, Grigorios Tsoumakas

      Pages 52-63

   7. Combining Tags and Reviews to Improve Social Book Search Performance

      • Messaoud Chaa, Omar Nouali, Patrice Bellot

      Pages 64-75

   8. Fast and Simple Deterministic Seeding of KMeans for Text Document Clustering

      • Ehsan Sherkat, Julien Velcin, Evangelos E. Milios

      Pages 76-88

   9. Medical Image Classification with Weighted Latent Semantic Tensors and Deep Convolutional Neural Networks

      • Spyridon Stathopoulos, Theodore Kalamboukis

      Pages 89-100

   10. Effects of Language and Terminology of Query Suggestions on the Precision of Health Searches

       • Carla Teixeira Lopes, Cristina Ribeiro

       Pages 101-111

3. Short Papers

   1. Front Matter

      Pages 113-113

      PDF

   2. Automatic Query Selection for Acquisition and Discovery of Food-Drug Interactions

      • Georgeta Bordea, Frantz Thiessard, Thierry Hamon, Fleur Mougin

      Pages 115-120

   3. Addressing Social Bias in Information Retrieval

      • Jahna Otterbacher

      Pages 121-127

   4. Analyzing and Visualizing Translation Patterns of Wikidata Properties

      • John Samuel

      Pages 128-134

   5. Character N-Grams for Detecting Deceptive Controversial Opinions

      • Javier Sánchez-Junquera, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez, Paolo Rosso

      Pages 135-140

4. Best of CLEF 2017 Labs

   1. Front Matter

      Pages 141-141

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   2. Simply the Best: Minimalist System Trumps Complex Models in Author Profiling

      • Angelo Basile, Gareth Dwyer, Maria Medvedeva, Josine Rawee, Hessel Haagsma, Malvina Nissim

      Pages 143-156

   3. Textured Graph-Based Model of the Lungs: Application on Tuberculosis Type Classification and Multi-drug Resistance Detection

      • Yashin Dicente Cid, Kayhan Batmanghelich, Henning Müller

      Pages 157-168

   4. Plant Classification Based on Gated Recurrent Unit

      • Sue Han Lee, Yang Loong Chang, Chee Seng Chan, Joly Alexis, Pierre Bonnet, Herve Goeau

      Pages 169-180

This book constitutes the refereed proceedings of the 9^th International Conference of the CLEF Initiative, CLEF 2018, jointly organized by Avignon, Marseille and Toulon universities and held in Avignon, France, in September 2018. The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data. The 13 papers presented in this volume were carefully reviewed and selected from 39 submissions. Many papers tackle the medical ehealth and ehealth multimedia retrieval challenges, however there are many other topics of research such as document clustering, social biases in IR, social book search, personality profiling. Further this volume presents 9 “best of the labs” papers which were reviewed as a full paper submission with the same review criteria. The labs represented scientific challenges based on new data setsand real world problems in multimodal and multilingual information access. In addition to this, 10 benchmarking labs reported results of their yearlong activities in overview talks and lab sessions. The papers address all aspects of information access in any modularity and language and cover a broad range of topics in the field of multilingual and multimodal information access evaluation.

• artificial intelligence
• biocommunications
• bioinformatics
• biomedical technologies
• classification
• image processing
• image segmentation
• information retrieval
• internet
• medical images
• Natural Language Processing (NLP)
• natural language processing systems
• neural networks
• query languages
• search engines
• semantics
• social networking
• social networks
• software engineering
• world wide web

• Aix-Marseille University, Marseille Cedex 20, France

  Patrice Bellot

• Virtual University of Tunis, Tunis, Tunisia

  Chiraz Trabelsi

• Systèmes d’informations, Big Data et Rec, Institut de Recherche en Informatique de, Toulouse Cedex 04, France

  Josiane Mothe

• Department of Computer Science, University of Huddersfield, Huddersfield, United Kingdom

  Fionn Murtagh

• DIRO, Universite de Montreal, Montreal, Canada

  Jian Yun Nie

• Pierre and Marie Curie University, Paris Cedex 05, France

  Laure Soulier

• Université d'Avignon et des Pays de, Avignon, France

  Eric SanJuan

• Department of Information Engineering, University of Padua, Padua, Italy

  Linda Cappellato

• University of Padua, Padua, Italy

  Nicola Ferro

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