CLEF 2017
CLEF 2017 Working Notes

Table of Contents

• Preface
  Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, Thomas Mandl

CLEF NewsREEL

• CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems
  Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha Larson, Torben Brodt
• A System for Online News Recommendations in Real-Time with Apache Mahout
  Paul David Beck, Manuel Blaser, Adrian Michalke, Andreas Lommatzsch
• A News Recommender Engine with a Killer Sequence
  Pieter Bons, Nick Evans, Peter Kampstra, Timo van Kessel
• News Recommender System based on Association Rules @ CLEF NewsREEL 2017
  Christián Golian, Jaroslav Kuchař
• Deep Neural Architecture for News Recommendation
  Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma
• CLEF NewsREEL 2017: Contextual Bandit News Recommendation
  Yu Liang, Babak Loni, Martha Larson
• Recommending News Articles in the CLEF News Recommendation Evaluation Lab with the Data Stream Management System Odysseus
  Cornelius A. Ludmann

LifeCLEF

• LifeCLEF Bird Identification Task 2017
  Hervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Bob Planque, Alexis Joly
• Plant Identification Based on Noisy Web Data: the Amazing Performance of Deep Learning (LifeCLEF 2017)
  Hervé Goëau, Pierre Bonnet, Alexis Joly
• Plant Identification with Large Number of Classes: SabanciU-GebzeTU System in PlantCLEF 2017
  Sara Atito, Berrin Yanikoglu, Erchan Aptoula
• A Multi-modal Deep Neural Network approach to Bird-song Identication
  Botond Fazekas, Alexander Schindler, Thomas Lidy
• Recognizing Bird Species in Audio Files Using Transfer Learning
  Andreas Fritzler, Sven Koitka, Christoph M. Friedrich
• Residual Network with Delayed Max Pooling for Very Large Scale Plant Identification
  Siang Thye Hang, Masaki Aono
• Automatic Whale Matching System using Feature Descriptor
  S.M. Jaisakthi, P. Mirunalini, Rutuja Jadhav
• Large-Scale Bird Sound Classification using Convolutional Neural Networks
  Stefan Kahl, Thomas Wilhelm-Stein, Hussein Hussein, Holger Klinck, Danny Kowerko, Marc Ritter, Maximilian Eibl
• Image-based Plant Species Identification with Deep Convolutional Neural Networks
  Mario Lasseck
• LifeClef 2017 Plant Identification Challenge: Classifying Plants using Generic-Organ Correlation Features
  Sue Han Lee, Yang Loong Chang, Chee Seng Chan
• Improving Model Performance for Plant Image Classification With Filtered Noisy Images
  Andreas R. Ludwig, Helga Piorek, Andreas H. Kelch, David Rex, Sven Koitka, Christoph M. Friedrich
• Image Matching for Individual Recognition with SIFT, RANSAC and MCL
  Dávid Papp, Ferenc Mogyorósi, Gábor Szücs
• Audio Bird Classification with Inception-v4 extended with Time and Time-Frequency Attention Mechanisms
  Antoine Sevilla, Hervé Glotin
• UPB HES SO @ PlantCLEF 2017: Automatic Plant Image Identification using Transfer Learning via Convolutional Neural Networks
  Alexandru Toma, Liviu Daniel Stefan, Bogdan Ionescu
• Marine Animal Detection and Recognition with Advanced Deep Learning Models
  Peiqin Zhuang, Linjie Xing, Yanlin Liu, Sheng Guo, Yu Qiao
• Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition
  Milan Šulc, Jiří Matas

PAN Lab on Digital Text Forensics

• Overview of the Author Obfuscation Task at PAN 2017: Safety Evaluation Revisited
  Matthias Hagen, Martin Potthast, Benno Stein
• Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter
  Francisco Manuel Rangel Pardo, Paolo Rosso, Martin Potthast, Benno Stein
• Overview of the Author Identification Task at PAN-2017: Style Breach Detection and Author Clustering
  Michael Tschuggnall, Efstathios Stamatatos, Ben Verhoeven, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast
• Author Profiling, instance-based Similarity Classification
  Yaritza Adame-Arcia, Daniel Castro-Castro, Reynier Ortega Bueno, Rafael Muñoz
• Twitter Author Profiling Using Word Embeddings and Logistic Regression
  Liliya Akhtyamova, John Cardiff, Andrey Ignatov
• Author clustering with the Aid of a Simple Distance Measure
  Houda Alberts
• Arabic Tweeps Gender and Dialect Prediction
  Khaled Alrifai, Ghaida Rebdawi, Nada Ghneim
• Author Masking using Sequence-to-Sequence Models
  Oleg Bakhteev, Andrey Khazov
• N-GrAM: New Groningen Author-profiling Model
  Angelo Basile, Gareth Dwyer, Maria Medvedeva, Josine Rawee, Hessel Haagsma, Malvina Nissim
• Discovering Author Groups using a B-compact graph-based Clustering
  Yasmany García-Mondeja, Daniel Castro-Castro, Vania Lavielle-Castro, Rafael Muñoz
• Author Masking by Sentence Transformation
  Daniel Castro-Castro, Reynier Ortega Bueno, Rafael Muñoz
• Including Dialects and Language Varieties in Author Profiling
  Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi, Liviu P. Dinu
• Subword-based Deep Averaging Networks for Author Profiling in Social Media
  Marc Franco-Salvador, Nataliia Plotnikova, Neha Pawar, Yassine Benajiba
• Author Clustering using Hierarchical Clustering Analysis
  Helena Gómez-Adorno, Yuridiana Alemán, Darnes Vilariño Ayala, Miguel A. Sanchez-Perez, David Pinto, Grigori Sidorov
• Author Clustering based on Compression-based Dissimilarity Scores
  Oren Halvani, Lukas Graner
• OPI-JSA at CLEF 2017: Author Clustering and Style Breach Detection
  Daniel Karaś, Martyna Śpiewak, Piotr Sobecki
• Author Profile Prediction Using Trend and Word Frequency Based Analysis in Text
  Jamal Ahmad Khan
• Style Breach Detection: An Unsupervised Detection Model
  Jamal Ahmad Khan
• INSA LYON and UNI PASSAU's Participation at PAN@CLEF'17: Author Profiling task
  Guillaume Kheng, Léa Laporte, Michael Granitzer
• UniNE at CLEF 2017: Author Clustering
  Mirco Kocher, Jacques Savoy
• UniNE at CLEF 2017: Author Profiling Reasoning
  Mirco Kocher, Jacques Savoy
• Author Profiling with Bidirectional RNNs using Attention with GRUs
  Don Kodiyan, Florin Hardegger, Stephan Neuhaus, Mark Cieliebak
• Social-Media Users can be profiled by their Similarity with other Users
  Adrián Pastor Lopez-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda, Thamar Solorio
• Language- and Subtask-Dependent Feature Selection and Classifier Parameter Tuning for Author Profiling
  Ilia Markov, Helena Gómez-Adorno, Grigori Sidorov
• PAN 2017: Author Profiling - Gender and Language Variety Prediction
  Matej Martinc, Iza Škrjanec, Katja Zupan, Senja Pollak
• Author Profiling with Word+Character Neural Attention Network
  Yasuhide Miura, Tomoki Taniguchi, Motoki Taniguchi, Tomoko Ohkuma
• Language Variety and Gender Classification for Author Profiling in PAN 2017
  Alexander Ogaltsov, Alexey Romanov
• Using Character n-grams and Style Features for Gender and Language Variety Classification
  Rodrigo Ribeiro Oliveira, Rosalvo Ferreira Oliveira Neto
• Using TF-IDF n-gram and Word Embedding Cluster Ensembles for Author Profiling
  Adam Poulston, Zeerak Waseem, Mark Stevenson
• Style Breach Detection with Neural Sentence Embeddings
  Kamil Safin, Rita Kuznetsova
• UniNE at CLEF 2017: TF-IDF and Deep-Learning for Author Profiling
  Nils Schaetti
• Convolutional Neural Networks for Author Profiling in PAN 2017
  Sebastian Sierra, Manuel Montes-Y-Gómez, Thamar Solorio, Fabio A. González
• Gender and language-variety Identification with MicroTC
  Eric S. Tellez, Sabino Miranda-Jiménez, Mario Graff, Daniela Moctezuma

CLEF eHealth Evaluation Lab

• CLEF eHealth 2017 Multilingual Information Extraction task Overview: ICD10 Coding of Death Certificates in English and French
  Aurélie Névéol, Aude Robert, Robert Anderson, Kevin Bretonnel Cohen, Cyril Grouin, Thomas Lavergne, Grégoire Rey, Claire Rondet, Pierre Zweigenbaum
• CLEF 2017 Technologically Assisted Reviews in Empirical Medicine Overview
  Evangelos Kanoulas, Dan Li, Leif Azzopardi, Rene Spijker
• CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search
  Joao Palotti, Guido Zuccon, Jimmy, Pavel Pecina, Mihai Lupu, Lorraine Goeuriot, Liadh Kelly, Allan Hanbury
• NoNLP: Annotating Medical Domain by using Semantic Technologies
  Ghislain Auguste Atemezing
• SIBM at CLEF eHealth Evaluation Lab 2017: Multilingual Information Extraction with CIM-IND
  Chloé Cabot, Lina F. Soualmia, Stéfan J. Darmoni
• A Lexicon Based Approach to Classification of ICD10 Codes. IMS Unipd at CLEF eHealth Task 1
  Giorgio Maria Di Nunzio, Federica Beghini, Federica Vezzani, Geneviève Henrot
• Fusion Methods for ICD10 Code Classification of Death Certificates in Multilingual Corpora
  Mike Ebersbach, Robert Herms, Maximilian Eibl
• LITL at CLEF eHealth2017: Automatic Classification of Death Reports
  Lydia-Mai Ho-Dac, Cécile Fabre, Anouk Birski, Imane Boudraa, Aline Bourriot, Manon Cassier, Léa Delvenne, Charline Garcia-Gonzalez, Eun-Bee Kang, Elisa Piccinini, Camille Rohrbacher, Aure Séguier
• Automatic Coding of Death Certificates to ICD-10 Terminology
  Jitendra Jonnagaddala, Feiyan Hu
• KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks
  Zulfat Miftahutdinov, Elena Tutubalina
• Multi-lingual ICD-10 Coding using a Hybrid rule-based and Supervised Classification Approach at CLEF eHealth 2017
  Jurica Ševa, Madeleine Kittner, Roland Roller, Ulf Leser
• ICD10 Coding of Death Certificates with the NCBO and SIFR Annotator(s) at CLEF eHealth 2017 Task 1
  Andon Tchechmedjiev, Amine Abdaoui, Vincent Emonet, Clement Jonquet
• Multiple Methods for Multi-class, Multi-label ICD-10 Coding of Multi-granularity, Multilingual Death Certificates
  Pierre Zweigenbaum, Thomas Lavergne
• Ranking Abstracts to Identify Relevant Evidence for Systematic Reviews: The University of Sheffield’s Approach to CLEF eHealth 2017 Task 2
  Amal Alharbi, Mark Stevenson
• SiS at CLEF 2017 eHealth TAR Task
  Leif Azzopardi, Vassil Kalphov, Georgios Georgiadis
• ECNU at 2017 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine
  Jiayi Chen, Su Chen, Yang Song, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He
• Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2017
  Gordon V. Cormack, Maura R. Grossman
• An Interactive Two-Dimensional Approach to Query Aspects Rewriting in Systematic Reviews. IMS Unipd At CLEF eHealth Task 2
  Giorgio Maria Di Nunzio, Federica Beghini, Federica Vezzani, Geneviève Henrot
• A Study of Convolutional Neural Networks for Clinical Document Classification in Systematic Reviews: SysReview at CLEF eHealth 2017
  Grace Eunkyung Lee
• LIMSI@CLEF eHealth 2017 Task 2: Logistic Regression for Automatic Article Ranking
  Christopher Norman, Mariska Leeflang, Aurélie Névéol
• QUT ielab at CLEF 2017 Technology Assisted Reviews Track: Initial Experiments with Learning To Rank
  Harrisen Scells, Guido Zuccon, Anthony Deacon, Bevan Koopman
• IIIT-H at CLEF eHealth 2017 Task 2: Technologically Assisted Reviews in Empirical Medicine
  Jaspreet Singh, Lini Thomas
• Identifying Diagnostic Test Accuracy Publications using a Deep Model
  Gaurav Singh, Iain Marshall, James Thomas, Byron Wallace
• Predicting Publication Inclusion for Diagnostic Accuracy Test Reviews Using Random Forests and Topic Modelling
  Allard van Altena, Sílvia Delgado Olabarriaga
• Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting
  Zhe Yu, Tim Menzies
• Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews
  Antonios Anagnostou, Athanasios Lagopoulos, Grigorios Tsoumakas, Ioannis Vlahavas
• SINAI at CLEF eHealth 2017 Task 3
  Manuel Carlos Díaz-Galiano, María-Teresa Martín-Valdivia, Salud María Jiménez–Zafra, Alberto Andreu, L. Alfonso Ureña-López
• Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval
  Noah Hollmann, Carsten Eickhoff
• QUT ielab at CLEF 2017 e-Health IR Task: Knowledge Base Retrieval for Consumer Health Search
  Jimmy, Guido Zuccon, Bevan Koopman
• KISTI at CLEF eHealth 2017 Patient-Centered Information Retrieval Task-1: Improving Medical Document Retrieval with Query Expansion
  Heung-Seon Oh, Yuchul Jung
• Exploring Understandability Features to Personalize Consumer Health Search. TUW at CLEF 2017 eHealth
  Joao Palotti, Navid Rekabsaz
• Task3 Patient-Centred Information Retrieval: Team CUNI
  Shadi Saleh, Pavel Pecina
• UB-Botswana Participation to CLEF eHealth IR Challenge 2017: Task 3 (IRTask1 : Ad-hoc Search)
  Edwin Thuma, Nkwebi Motlogelwa, Tebo Leburu-Dingalo
• UEvora at CLEF eHealth 2017 Task 3
  Hua Yang, Teresa Gonçalves

CLEF Microblog Cultural Contextualization

• CLEF 2017 Microblog Cultural Contextualization Content Analysis task Overview
  Liana Ermakova, Josiane Mothe, Eric Sanjuan
• CLEF 2017 MC2 Search and Time Line tasks Overview
  Lorraine Goeuriot, Philippe Mulhem, Eric Sanjuan
• Role of Social Media in Propagating Controversies: the Case of Cultural Microblog Feeds
  Adrian-Gabriel Chifu, Fidelia Ibekwe-Sanjuan, Nathanaêla Andrianasolo
• Using Sociological Needs to Characterize Profiles and Contents for Microblog Search
  Jean-Valère Cossu, Florence Andreacola
• A Tweets Classifier based on Cosine Similarity
  Carolina Focil-Arias, Jorge Zuñiga, Grigori Sidorov, Ildar Batyrshin, Alexander Gelbukh
• Microblog Search Task at CLEF 2017: Query Generation using IR and LDA Topic Modeling Combination
  Malek Hajjem, Chiraz Latiri
• Syllabs Team at CLEF MC2 Task 1: Content Analysis
  Olivier Hamon, Chloé Monnin, Claude de Loupy
• Entity Recognition and Language Identification with FELTS
  Pierre Jourlin
• Microblog Contextualization using Continuous Space Vectors: Multi-Sentence Compression of Cultural Documents
  Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares
• IITH at CLEF 2017: Finding Relevant Tweets for Cultural Events
  Sreekanth Madisetty, Maunendra Sankar Desarkar
• Opinion Polarity Detection in Twitter Data combining Sequence Mining and Topic Modeling
  Asma Ouertatani, Chiraz Latiri
• Re-Ranking Microblogs Using Word2Vec in Microblog Search Task, University of Avignon
  Mathias Quillot Alexandre Delorme

ImageCLEF

• Overview of ImageCLEF 2017 Population Estimation (Remote) task
  Helbert Arenas, Md Bayzidul Islam, Josiane Mothe
• Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization
  Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Giulia Boato, Liting Zhou, Cathal Gurrin
• Overview of the ImageCLEF 2017 Tuberculosis Task - Predicting Tuberculosis Type and Drug Resistances
  Yashin Dicente Cid, Alexander Kalinovsky, Vitali Liauchuk, Vassili Kovalev, Henning Müller
• Overview of ImageCLEFcaption 2017 – Image Caption Prediction and Concept Detection for Biomedical Images
  Carsten Eickhoff, Immanuel Schwall, Alba G. Seco de Herrera, Henning Müller
• FabSpaces at ImageCLEF 2017 - Population Estimation (remote) Task
  Helbert Arenas, Aurlie Baker, Damian Bargiel, Matthias Becker, Anna Bialczak, Francesco Carbone, Véronique Gaildrat, Sascha Heising, Md Bayzidul Islam, Philippe Lattes, Charalampos Marantos, Colette Menou, Josiane Mothe, Aude Nzeh Ngong, Iosif S. Paraskevas, Miguel Penalver, Paulina Sciana, Dimitrios Soudris
• NLM at ImageCLEF 2017 Caption Task
  Asma Ben Abacha, Alba G. Seco de Herrera, Soumya Gayen, Dina Demner-Fushman, Sameer Antani
• Convolutional Neural Networks for Multidrug-resistant and Drug-sensitive Tuberculosis Distinction
  Daniel Braun, Michael Singhof, Martha Tatusch, Stefan Conrad
• Textured Graph-model of the Lungs for Tuberculosis Type Classification and Drug Resistance Prediction: Participation in ImageCLEF 2017
  Yashin Dicente Cid, Kayhan Batmanghelich, Henning Müller
• BatmanLab in the ImageCLEF Tuberculosis task 2017
  Yashin Dicente Cid, Henning Müller, Kayhan Batmanghelich
• A Textual Filtering of HOG-Based Hierarchical Clustering of Lifelog Data
  Mihai Dogariu, Bogdan Ionescu
• Application of Deep Learning Neural Network for Classification of TB lung CT Images based on Patches
  Xiaohong Gao, Yu Qian
• VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization
  Ana Garcia Del Molino, Bappaditya Mandal, Jie Lin, Joo Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar
• PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks
  Sadid A. Hasan, Yuan Ling, Joey Liu, Rithesh Sreenivasan, Shreya Anand, Tilak Raj Arora, Vivek Datla, Kathy Lee, Ashequl Qadir, Christine Swisher, Oladimeji Farri
• Sentinel-2 Satellite Imagery based Population Estimation Strategies at FabSpace 2.0 Lab Darmstadt
  Md Bayzidul Islam, Matthias Becker, Damian Bargiel, Kazi Rifat Ahmed, Philipp Duzak, Nsikan-George Emana
• Concept Detection on Medical Images using Deep Residual Learning Network
  Katsios Dimitris, Kavallieratou Ergina
• Regional Population Estimation Using Satellite Imagery
  Aikaterini Koutsouri, Ilektra Skepetari, Konstantinos Anastasakis, Stefanos Lappas
• ISIA at the ImageCLEF 2017 Image Caption Task
  Sisi Liang, Xiangyang Li, Yongqing Zhu, Xue Li, Shuqiang Jiang
• ImageCLEF 2017: Supervoxels and Co-occurrence for Tuberculosis CT Image Classification
  Vitali Liauchuk, Vassili Kovalev
• Neural Captioning for the ImageCLEF 2017 Medical Image Challenges
  David Lyndon, Ashnil Kumar, Jinman Kim
• IRIT & MISA at Image CLEF 2017 - Multi Label Classification
  Nomena Ny Hoavy, Josiane Mothe, Mamitiana Ignace Randrianarivony
• Keyword Generation for Biomedical Image Retrieval with Recurrent Neural Networks
  Obioma Pelka, Christoph M. Friedrich
• Towards Representation Learning for Biomedical Concept Detection in Medical Images: UA.PT Bioinformatics in ImageCLEF 2017
  Eduardo Pinho, João Figueira Silva, Jorge Miguel Silva, Carlos Costa
• Convolutional Expectation Maximization for Population Estimation
  Andrea Pomente, David Aleandri
• A Cross-Modal Concept Detection and Caption Prediction Approach in ImageCLEFcaption Track of ImageCLEF 2017
  Mahmudur Rahman, Terrance Lagree, Martina Taylor
• 3D-CNN in Drug Resistance Detection and Tuberculosis Classification
  João Figueira Silva, Jorge Miguel Silva, Eduardo Pinho, Carlos Costa
• Finding and Classifying Tuberculosis Types for a Targeted Treatment: MedGIFT-UPB Participation in the ImageCLEF 2017 Tuberculosis Task
  Liviu-Daniel Stefan, Yashin Dicente Cid, Oscar Jimenez-Del-Toro, Bogdan Ionescu, Henning Müller
• Generating Captions for Medical Images with a Deep Learning Multi-hypothesis Approach: ImageCLEF 2017 Caption Task
  Liviu-Daniel Stefan, Bogdan Ionescu, Henning Müller
• ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission
  Jiamei Sun, Penny Chong, Yi Xiang Marcus Tan, Alexander Binder
• IPL at ImageCLEF 2017 Concept Detection Task
  Leonidas Valavanis, Spyridon Stathopoulos
• Organizer Team at ImageCLEFlifelog 2017: Baseline Approaches for Lifelog Retrieval and Summarization
  Liting Zhou, Luca Piras, Michael Riegler, Giulia Boato, Duc-Tien Dang-Nguyen, Cathal Gurrin

PIR-CLEF

• Evaluation of Personalised Information Retrieval at CLEF 2017 (PIR-CLEF): Towards a Reproducible Evaluation Framework for PIR
  Gabriella Pasi, Gareth Jones, Stefania Marrara, Camilla Sanvitto, Debasis Ganguly, Procheta Sen
• A Realistic Approach Towards Users’ Simulation
  Maram Barifah, Monica Landoni, Fabio Crestani
• Data Requirements for Evaluation of Personalization of Information Retrieval. A Position Paper
  Nicholas J. Belkin, Daniel Hienert, Philipp Mayr, Chirag Shah
• EvalUMAP: Towards Comparative Evaluation in User Modeling, Adaptation and Personalization
  Owen Conlan, Liadh Kelly, Kevin Koidl, Séamus Lawless, Athanasios Staikopoulos

Early risk prediction on the Internet

• CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations
  David Losada, Fabio Crestani, Javier Parapar
• Temporal Variation of Terms as Concept Space for Early Risk Prediction
  Marcelo Luis Errecalde, María Paula Villegas, Darío Gustavo Funez, María José Garciarena Ucelay, Leticia Cecilia Cagnina
• Detecting Early Risk of Depression from Social Media User-generated Content
  Hayda Almeida, Antoine Briand, Marie-Jean Meurs
• UACH-INAOE participation at eRisk2017
  Alan Alexis Farias-Anzaldua, Manuel Montes-Y-Gómez, Adrián Pastor Lopez-Monroy, Luis Carlos Gonzalez-Gurrola
• IRIT at e-Risk
  Idriss Abdou Malam, Mohamed Arziki, Mohammed Nezar Bellazrak, Farah Benamara, Assafa El Kaidi, Bouchra Es-Saghir, Zhaolong He, Mouad Housni, Véronique Moriceau, Josiane Mothe, Faneva Ramiandrisoa
• UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection
  Farig Sadeque, Dongfang Xu, Steven Bethard
• Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression
  Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
• UAM's Participation at CLEF eRisk 2017 task: Towards Modelling Depressed Blogers
  Esau Villatoro-Tello, Gabriela Ramírez-De-La-Rosa, Héctor Jiménez Salazar
• LIDIC - UNSL's Participation at eRisk 2017: Pilot Task on Early Detection of Depression
  María Paula Villegas, Dario Gustavo Funez, María José Garciarena Ucelay, Leticia Cecilia Cagnina, Marcelo Luis Errecalde

Dynamic Search for Complex Tasks

• CLEF 2017 Dynamic Search Lab Overview And Evaluation
  Evangelos Kanoulas, Leif Azzopardi
• Webis at the CLEF 2017 Dynamic Search Lab
  Matthias Hagen, Johannes Kiesel, Milad Alshomary, Benno Stein
• Leveraging Wikipedia’s Article Structure to Build Search Agents: TUW at CLEF 2017 Dynamic Search
  Joao Palotti
• An Automatic Procedure for Generating Datasets for Conversational Recommender Systems
  Alessandro Suglia, Claudio Greco, Pierpaolo Basile, Giovanni Semeraro, Annalina Caputo

Multimodal Spatial Role Labeling Workshop

• CLEF 2017: Multimodal Spatial Role Labeling Task Working Notes
  Parisa Kordjamshidi, Taher Rahgooy, Marie-Francine Moens, James Pustejovsky, Umar Manzoor, Kirk Roberts
• LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings
  Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari