CEUR-WS.org/Vol-1866 - Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum

CEUR-WS.org/Vol-1866 - Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum
Vol-1866
urn:nbn:de:0074-1866-8
Copyright ©
2017
for the individual papers
by the papers' authors. Copying permitted for private and academic purposes.
This volume is published and copyrighted by its editors.
CLEF 2017
CLEF 2017 Working Notes
Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum
Dublin, Ireland, September 11-14, 2017
Edited by
Linda Cappellato
Nicola Ferro
Lorraine Goeuriot
**
Thomas Mandl
***
Department of Information Engineering (DEI)
University of Padua, Via Gradenigo 6/B, 35131, Padova, Italy
**
Université Grenoble Alpes, France
***
University of Hildesheim, Germany
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
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