CLEF 2018
CLEF 2018 Working Notes

Table of Contents

• Preface
  Linda Cappellato, Nicola Ferro, Jian-Yun Nie, Laure Soulier

CENTRE@CLEF

• CENTRE@CLEF2018: Overview of the Replicability Task
  Nicola Ferro, Maria Maistro, Tetsuya Sakai, Ian Soboroff
• Replicating an Experiment in Cross-lingual Information Retrieval with Explicit Semantic Analysis
  Marco Jungwirth, Allan Hanbury

LifeCLEF

• Overview of GeoLifeCLEF 2018: Location-based Species Recommendation
  Christophe Botella, Pierre Bonnet, François Munoz, Pascal Monestiez, Alexis Joly
• Overview of BirdCLEF 2018: Monospecies vs. Sundscape Bird Identification
  Hervé Goëau, Stefan Kahl, Hervé Glotin, Bob Planque, Willem-Pier Vellinga, Alexis Joly
• Overview of ExpertLifeCLEF 2018: how far Automated Identification Systems are from the Best Experts?
  Hervé Goëau, Pierre Bonnet, Alexis Joly
• Plant Identification with Deep Learning Ensembles
  Sara Atito, Berri Yanikoglu, Erchan Aptoula, Îpek Ganiyusufoglu, Aras Yildiz, Kerem Yildirir, Baris Sevilmis, M. Umut Sen
• Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge
  Benjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis Joly
• Large-Scale Plant Classification using Deep Convolutional Neural Networks
  Josef Haupt, Stefan Kahl, Danny Kowerko, Maximilian Eibl
• A Baseline for Large-Scale Bird Species Identification in Field Recordings
  Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl
• Audio-based Bird Species Identification with Deep Convolutional Neural Networks
  Mario Lasseck
• Machines vs. Human Experts: Contribution to the ExpertLifeCLEF 2018 Plant Identification Task
  Mario Lasseck
• Convolutional Long Short-Term Memory Neural Networks for Hierarchical Species Prediction
  Nithish B Moudhgalya, Sharan Sundar S, Siddharth Divi, P Mirunalini, Chandrabose Aravindan, S. M. Jaisakthi
• Bird Sound Classification using a Bidirectional LSTM
  Lukas Müller, Mario Marti
• Bird Identification from Timestamped, Geotagged Audio Recordings
  Jan Schlüter
• Plant Recognition by Inception Networks with Test-time Class Prior Estimation
  Milan Šulc, Lukáš Picek, Jiří Matas
• Species Prediction based on Environmental Variables using Machine Learning Techniques
  Stefan Taubert, Max Mauermann, Stefan Kahl, Danny Kowerko, Maximilian Eibl
• Construction and Improvements of Bird Songs' Classification System
  Haiwei Wu, Ming Li

PAN Lab on Digital Text Forensics

• Overview of the Author Obfuscation Task at PAN 2018: A New Approach to Measuring Safety
  Martin Potthast, Felix Schremmer, Matthias Hagen, Benno Stein
• Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter
  Francisco Rangel, Paolo Rosso, Manuel Montes-y-Gómez, Martin Potthast, Benno Stein
• Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection
  Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast
• A Model for Style Breach Detection at a Glance: Notebook for PAN at CLEF 2018
  Jamal Ahmad Khan
• A Straightforward Multimodal Approach for Author Profiling: Notebook for PAN at CLEF 2018
  Mario Ezra Aragón, A. Pastor López-Monroy
• Multilingual Author Profiling using LSTMs: Notebook for PAN at CLEF 2018
  Roy Khristopher Bayot, Teresa Gonçalves
• Stacked Gender Prediction from Tweet Texts and Images: Notebook for PAN at CLEF 2018
  Giovanni Ciccone, Arthur Sultan, Léa Laporte, Elöd Egyed-Zsigmond, Alaa Alhamzeh, Michael Granitzer
• EACH-USP Ensemble Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
  José Eleandro Custódio, Ivandré Paraboni
• Gender Identification in Twitter using N-grams and LSA: Notebook for PAN at CLEF 2018
  Saman Daneshvar, Diana Inkpen
• Word Unigram Weighing for Author Profiling at PAN 2018: Notebook for PAN at CLEF 2018
  Pius von Däniken, Ralf Grubenmann, Mark Cieliebak
• Author Profiling using Word Embeddings with Subword Information: Notebook for PAN at CLEF 2018
  Rafael Felipe Sandroni Dias, Ivandré Paraboni
• Authorship Attribution with Neural Networks and Multiple Features: Notebook for PAN at CLEF 2018
  Łukasz Gągała
• A Big Data approach to gender classification in Twitter: Notebook for PAN at CLEF 2018
  Òscar Garibo i Orts
• Cross-domain Authorship Attribution: Author Identification using Char Sequences, Word Uni-grams, and POS-tags Features: Notebook for PAN at CLEF 2018
  Yaakov HaCohen-Kerner, Daniel Miller, Yair Yigal, Elyashiv Shayovitz
• Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018
  Yaakov HaCohen-Kerner, Yair Yigal, Elyashiv Shayovitz, Daniel Miller, Toby Breckon
• Cross-Domain Authorship Attribution Based on Compression: Notebook for PAN at CLEF 2018
  Oren Halvani, Lukas Graner
• A Parallel Hierarchical Attention Network for Style Change Detection: Notebook for PAN at CLEF 2018
  Marjan Hosseinia, Arjun Mukherjee
• Authorship Profiling Without Using Topical Information: Notebook for PAN at CLEF 2018
  Jussi Karlgren, Lewis Esposito, Chantal Gratton, Pentti Kanerva
• UniNE at CLEF 2018: Author Masking: Notebook for PAN at CLEF 2018
  Mirco Kocher, Jacques Savoy
• Mixing Traditional Methods with Neural Networks for Gender Prediction: Notebook for PAN at CLEF 2018
  Rick Kosse, Youri Schuur, Guido Cnossen
• Complexity Measures and POS n-grams for Author Identification in Several Languages: SINAI at PAN@CLEF 2018
  Rocío López-Anguita, Arturo Montejo-Ráez, Manuel C. Díaz-Galiano
• Custom Document Embeddings Via the Centroids Method: Gender Classification in an Author Profiling Task: Notebook for PAN at CLEF 2018
  Roberto López-Santillán, Luis-Carlos González-Gurrola, Graciela Ramírez-Alonso
• Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018
  Matej Martinc, Blaž Škrlj, Senja Pollak
• CIC-GIL Approach to Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
  Carolina Martín-Del-Campo-Rodríguez, Helena Gómez-Adorno, Grigori Sidorov, Ildar Batyrshin
• Dynamic Parameter Search for Cross-Domain Authorship Attribution: Notebook for PAN at CLEF 2018
  Benjamin Murauer, Michael Tschuggnall, Günther Specht
• Twitter Text and Image Gender Classification with a Logistic Regression N-Gram Model: Notebook for PAN at CLEF 2018
  Moniek Nieuwenhuis, Jeroen Wilkens
• Multimodal Author Profiling for Twitter: Notebook for PAN at CLEF 2018
  Braja Gopal Patra, Kumar Gourav Das, Dipankar Das
• Author Masking Directed by Author's Style: Notebook for PAN at CLEF 2018
  Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, Hasan Zeynali, Salar Khayat Mirza Rasouli
• Multi-Language Neural Network Model with Advance Preprocessor for Gender Classification over Social Media: Notebook for PAN at CLEF 2018
  Kashyap Raiyani, Teresa Gonçalves, Paulo Quaresma, Vítor Beires Nogueira
• Detecting a Change of Style using Text Statistics: Notebook for PAN at CLEF 2018
  Kamil Safin, Aleksandr Ogaltsov
• Character-based Convolutional Neural Network and ResNet18 for Twitter Author Profiling: Notebook for PAN at CLEF 2018
  Nils Schaetti
• Character-based Convolutional Neural Network for Style Change Detection: Notebook for PAN at CLEF 2018
  Nils Schaetti
• Bidirectional Echo State Network-based Reservoir Computing for Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
  Nils Schaetti
• Gender Prediction From Tweets With Convolutional Neural Networks: Notebook for PAN at CLEF 2018
  Erhan Sezerer, Ozan Polatbilek, Özge Sevgili, Selma Tekir
• Combining Textual and Visual Representations for Multimodal Author Profiling: Notebook for PAN at CLEF 2018
  Sebastian Sierra, Fabio A. González
• Author Profiling based on Text and Images: Notebook for PAN at CLEF 2018
  Luka Stout, Robert Musters, Chris Pool
• Text and Image Synergy with Feature Cross Technique for Gender Identification: Notebook for PAN at CLEF 2018
  Takumi Takahashi, Takuji Tahara, Koki Nagatani, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma
• Gender Identification through Multi-modal Tweet Analysis using MicroTC and Bag of Visual Words: Notebook for PAN at CLEF 2018
  Eric S. Tellez, Sabino Miranda-Jiménez, Daniela Moctezuma, Mario Graff, Vladimir Salgado, José Ortiz-Bejar
• Using Translated Data to Improve Deep Learning Author Profiling Models: Notebook for PAN at CLEF 2018
  Robert Veenhoven, Stan Snijders, Daniël van der Hall, Rik van Noord
• An Ensemble-Rich Multi-Aspect Approach Towards Robust Style Change Detection: Notebook for PAN at CLEF 2018
  Dimitrina Zlatkova, Daniel Kopev, Kristiyan Mitov, Atanas Atanasov, Momchil Hardalov, Ivan Koychev, Preslav Nakov

CLEF eHealth

• CLEF eHealth 2018 Multilingual Information Extraction Task Overview: ICD10 Coding of Death Certificates in French, Hungarian and Italian
  Aurélie Névéol, Aude Robert, Francesco Grippo, Claire Morgand, Chiara Orsi, Laszlo Pelikan, Lionel Ramadier, Grégoire Rey, Pierre Zweigenbaum
• CLEF 2018 Technologically Assisted Reviews in Empirical Medicine Overview
  Evangelos Kanoulas, Dan Li, Leif Azzopardi, Rene Spijker
• Overview of the CLEF 2018 Consumer Health Search Task
  Jimmy, Guido Zuccon, Joao Palotti, Lorraine Goeuriot, Liadh Kelly
• Retrieving and Ranking Studies for Systematic Reviews: University of Sheffield's Approach to CLEF eHealth 2018 Task 2
  Amal Alharbi, William Briggs, Mark Stevenson
• MAMTRA-MED at CLEF eHealth 2018: A Combination of Information Retrieval Techniques and Neural Networks for ICD-10 Coding of Death Certificates
  Mario Almagro, Soto Montalvo, Arantza Díaz de Ilarraza, Alicia Pérez
• IxaMed at CLEF eHealth 2018 Task 1: ICD10 Coding with a Sequence-to-Sequence Approach
  Aitziber Atutxa, Arantza Casillas, Nerea Ezeiza, Victor Fresno, Iakes Goenaga, Koldo Gojenola, Raquel Martínez, Maite Oronoz Anchordoqui, Olatz Perez-De-Viñaspre
• Tlemcen University at CELF eHealth 2018 Team Techno: Multilingual Information Extraction - ICD10 coding
  Rabia Bounaama, Mohammed El Amine Abderrahim
• OHSU CLEF 2018 Task 2 Diagnostic Test Accuracy Ranking using Publication Type Cluster Similarity Measures
  Aaron Cohen, Neil Smalheiser
• Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2018
  Gordon Cormack, Maura Grossman
• IAM at CLEF eHealth 2018 : Concept Annotation and Coding in French Death Certificates
  Sebastien Cossin, Vianney Jouhet, Fleur Mougin, Gayo Diallo, Frantz Thiessard
• Classification of ICD10 Codes with no Resources but Reproducible Code. IMS Unipd at CLEF eHealth Task 1
  Giorgio Maria Di Nunzio
• Interactive Sampling for Systematic Reviews. IMS Unipd At CLEF 2018 eHealth Task 2
  Giorgio Maria Di Nunzio, Giacomo Ciuffreda, Federica Vezzani
• A Study on Query Expansion with MeSH Terms and Elasticsearch. IMS Unipd at CLEF eHealth Task 3
  Giorgio Maria Di Nunzio, Alexandru Moldovan
• SINAI at CLEF eHealth 2018 Task 3. Using cTAKES to Remove Noise from Expanding Queries with Google
  Manuel Carlos Díaz-Galiano, Pilar López-Úbeda, María-Teresa Martín-Valdivia, L. Alfonso Ureña-López
• ECSTRA-APHP @ CLEF eHealth2018-task 1: ICD10 Code Extraction from Death Certificates
  Rémi Flicoteaux
• Instance-based Learning for ICD10 Categorization
  Julien Gobeill, Patrick Ruch
• KCL-Health-NLP@CLEF eHealth 2018 Task 1: ICD-10 Coding of French and Italian Death Certificates with Character-Level Convolutional Neural Networks
  Julia Ive, Natalia Viani, David Chandran, André Bittar, Sumithra Velupillai
• Toronto CL CLEF 2018 eHealth Task 1: Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks
  Serena Jeblee, Akshay Budhkar, Saša Milić, Jeff Pinto, Chloé Pou-Prom, Krishnapriya Vishnubhotla, Graeme Hirst, Frank Rudzicz
• QUT IElab at CLEF 2018 Consumer Health Search Task: Knowledge Base Retrieval for Consumer Health Search
  Jimmy, Guido Zuccon, Bevan Koopman
• ECNU at 2018 eHealth Task1 Multilingual Information Extraction
  Mengting Li, Cong Xu, Tingyu Wei, Dongyang Bao, Ningjie Lu, Jing Yang
• Machine Learning to Detect ICD10 Codes in Causes of Death
  Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, María-Teresa Martín-Valdivia, L. Alfonso Ureña-López
• Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab
  Adamantios Minas, Athanasios Lagopoulos, Grigorios Tsoumakas
• Merging Search Results Generated by Multiple Query Variants Using Data Fusion
  Nkwebi Motlogelwa, Edwin Thuma, Tebo Leburu-Dingalo
• LIMSI@CLEF eHealth 2018 Task 2: Technology Assisted Reviews by Stacking Active and Static Learning
  Christopher Norman, Mariska Leeflang, Aurélie Névéol
• SITIS-ISPED in CLEF eHealth 2018 Task 1 : ICD10 coding using Deep Learning
  Kévin Réby, Sébastien Cossin, Georgeta Bordea, Gayo Diallo
• CUNI team: CLEF eHealth Consumer Health Search Task 2018
  Shadi Saleh, Pavel Pecina
• WBI at CLEF eHealth 2018 Task 1: Language-independent ICD-10 Coding using Multi-lingual Embeddings and Recurrent Neural Networks
  Jurica Ševa, Mario Sänger, Ulf Leser
• ECNU at 2018 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine
  Huaying Wu, Tingting Wang, Jiayi Chen, Su Chen, Qinmin Hu, Liang He
• Improving Personalized Consumer Health Search: Notebook for eHealth at CLEF 2018
  Hua Yang, Teresa Gonçalves
• Miracl at CLEF 2018 : Consumer Health Search Task
  Siwar Zayani, Nesrine Ksentini, Mohamed Tmar, Faiez Gargouri

MC2 - Multilingual Cultural Mining and Retrieval

• CLEF MC2 2018 Lab Technical Overview of Cross Language Microblog Search and Argumentative Mining
  Jean-Valère Cossu, Julio Gonzalo, Malek Hajjem, Olivier Hamon, Chiraz Latiri, Eric Sanjuan
• Monolingual and Cross-lingual Information Retrieval in Cultural Microblog at CLEF 2018
  Chedi Bechikh Ali, Hatem Haddad
• ERTIM@MC2: Diversified Argumentative Tweets Retrieval
  Kevin Deturck, Damien Nouvel, Frédérique Segond
• LIA@CLEF 2018: Mining Events Opinion Argumentation from Raw Unlabeled Twitter Data using Convolutional Neural Network
  Richard Dufour, Mickael Rouvier, Alexandre Delorme, Damien Malinas
• Opinion Argumentation based on Combined Information Retrieval and Topic Modeling
  Seif Sendi, Chiraz Latiri
• ECNU at MC2 2018 Task 2: Mining Opinion Argumentation
  Jie Zhou, Qi Zhang, Qinmin Hu, Liang He

ImageCLEF - Multimedia Retrieval in CLEF

• Overview of ImageCLEFlifelog 2018: Daily Living Understanding and Lifelog Moment Retrieval
  Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin
• Overview of the ImageCLEF 2018 Caption Prediction Tasks
  Alba García Seco De Herrera, Carsten Eickhoff, Vincent Andrearczyk, Henning Müller
• Overview of ImageCLEFtuberculosis 2018 - Detecting Multi-Drug Resistance, Classifying Tuberculosis Types and Assessing Severity Scores
  Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Henning Müller
• Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task
  Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Henning Müller, Matthew Lungren
• Texture Analysis from 3D Model and Individual Slice Extraction for Tuberculosis MDR Detection, Type Classification and Severity Scoring
  Md Sajib Ahmed, Md Obaidullah Sk, Mohan Jayatilake, Teresa Gonçalves, Luís Rato
• Deep Neural Networks and Decision Tree Classifier for Visual Question Answering in the Medical Domain
  Imane Allaouzi, Mohamed Ben Ahmed
• A 3D-CNN and SVM for Multi-Drug Resistance Detection
  Imane Allaouzi, Mohamed Ben Ahmed
• NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain
  Asma Ben Abacha, Soumya Gayen, Jason J Lau, Sivaramakrishnan Rajaraman, Dina Demner-Fushman
• Regim Lab Team at ImageCLEF Lifelog Moment Retrieval Task 2018
  Fatma Ben Abdallah, Ghada Feki, Mohamed Ezzarka, Anis Ben Ammar, Chokri Ben Amar
• Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images
  Kirill Bogomasov, Ludmila Himmelspach, Gerhard Klassen, Martha Tatusch, Stefan Conrad
• Leveraging Content and Context in Understanding Activities of Daily Living
  Minh-Son Dao, Asem Kasem, Mohamed Saleem Haja Nazmudeen
• Texture-based Graph Model of the Lungs for Drug Resistance Detection, Tuberculosis Type Classification, and Severity Scoring: Participation in ImageCLEF 2018 Tuberculosis Task
  Yashin Dicente Cid, Henning Müller
• Multimedia Lab @ ImageCLEF 2018 Lifelog Moment Retrieval Task
  Mihai Dogariu, Bogdan Ionescu
• Analysing TB Severity Levels with an Enhanced Deep re-sidual Learning – Depth-Resnet
  Xiaohong Gao, Carl James-Reynolds, Ed Currie
• ImageCLEF2018: Transfer Learning for Deep Learning with CNN for Tuberculosis Classification
  Amilcare Gentili
• ImageCLEF 2018: Semantic Descriptors for Tuberculosis CT Image Classification
  Abdelkader Hamadi, Djamel Eddine Yagoub
• ImageCLEF 2018 Tuberculosis Task: Ensemble of 3D CNNs with Multiple Inputs for Tuberculosis Type Classification
  Adam Ishay, Oge Marques
• Retrieving Events in Life Logging
  Ergina Kavallieratou, Carlos R. Del-Blanco, Carlos Cuevas, Narciso García
• ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis
  Vitali Liauchuk, Aleh Tarasau, Eduard Snezhko, Vassili Kovalev, Andrei Gabrielian, Alex Rosenthal
• Tuberculosis Detection using Optical Flow and the Activity Description Vector
  Fernando Llopis Pascual, Jorge Azorín-Lopez, Juan Ramón Rico-Juan, Andrés Fuster-Guillo, Irene Llopis
• UMass at ImageCLEF Medical Visual Question Answering(Med-VQA) 2018 Task
  Yalei Peng, Feifan Liu
• Feature Learning with Adversarial Networks for Concept Detection in Medical Images: UA.PT Bioinformatics at ImageCLEF 2018
  Eduardo Pinho, Carlos Costa
• A Cross Modal Deep Learning Based Approach for Caption Prediction and Concept Detection by CS Morgan State
  Mahmudur Rahman
• Generating Text from Images in a Smooth Representation Space
  Graham Spinks, Marie-Francine Moens
• UMass at ImageCLEF Caption Prediction 2018 Task
  Yupeng Su, Feifan Liu, Max P. Rosen
• JUST at VQA-Med: A VGG-Seq2Seq Model
  Bashar Talafha, Mahmoud Al-Ayyoub
• Visual Concept Selection with Textual Knowledge for Understanding Activities of Daily Living and Life Moment Retrieval
  Tsun-Hsien Tang, Min-Huan Fu, Hen-Hsen Huang, Kuan-Ta Chen, Hsin-Hsi Chen
• Detection of Multidrug-resistant Tuberculosis using Convolutional Neural Networks and Decision Trees
  Martha Tatusch, Stefan Conrad
• Lifelog Moment Retrieval with Visual Concept Fusion and Text-based Query Expansion
  Minh-Triet Tran, Thanh-Dat Truong, Tung Dinh-Duy, Viet-Khoa Vo-Ho, Quoc-An Luong, Vinh-Tiep Nguyen
• IPL at ImageCLEF 2018: A kNN-based Concept Detection Approach
  Leonidas Valavanis, Theodore Kalamboukis
• ImageSem at ImageCLEF 2018 Caption Task: Image Retrieval and Transfer Learning
  Xuwen Wang, Yu Zhang, Zhen Guo, Jiao Li
• An Interactive Lifelog Retrieval System for Activities of Daily Living Understanding
  Liting Zhou, Luca Piras, Michael Riegler, Mathias Lux, Duc-Tien Dang-Nguyen, Cathal Gurrin
• Employing Inception-Resnet-v2 and Bi-LSTM for Medical Domain Visual Question Answering
  Yangyang Zhou, Xin Kang, Fuji Ren

PIR-CLEF - Evaluation of Personalised Information Retrieval

• Overview of the CLEF 2018 Personalised Information Retrieval Lab (PIR-CLEF 2018)
  Gabriella Pasi, Gareth J. F. Jones, Keith Curtis, Stefania Marrara, Camilla Sanvitto, Debasis Ganguly, Procheta Sen
• PIR Based in Explicit and Implicit Feedback
  Alberto Andreu-Marín, Fernando Martínez-Santiago, Luís Alfonso Ureña-López, Manuel Carlos Díaz-Galiano
• ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval
  Qingchun Bai, Qi Zhang, Qinmin Hu, Liang He

Early Risk Prediction on the Internet

• Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview)
  David Losada, Fabio Crestani, Javier Parapar
• Analysis and Experiments on Early Detection of Depression
  Fidel Cacheda, Diego Fernández Iglesias, Francisco J. Novoa, Victor Carneiro
• UNSL's participation at eRisk 2018 Lab
  Dario G. Funez, María José Garciarena Ucelay, María Paula Villegas, Sergio Burdisso, Leticia Cagnina, Manuel Montes Y Gomez, Marcelo Errecalde
• TUA1 at eRisk 2018
  Ning Liu, Zheng Zhou, Kang Xin, Fuji Ren
• Using Topic Extraction on Social Media Content for the Early Detection of Depression
  Diego Maupomé, Marie-Jean Meurs
• PEIMEX at eRisk2018: Emphasizing Personal Information for Depression and Anorexia Detection
  Rosa María Ortega-Mendoza, Adrián Pastor Lopez-Monroy, Anilu Franco-Arcega, Manuel Montes-Y-Gómez
• Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks
  Sayanta Paul, Sree Kalyani Jandhyala, Tanmay Basu
• Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet
  Waleed Ragheb, Bilel Moulahi, Jérôme Azé, Sandra Bringay, Maximilien Servajean
• IRIT at e-Risk 2018
  Faneva Ramiandrisoa, Josiane Mothe, Benamara Farah, Véronique Moriceau
• UPF's Participation at the CLEF eRisk 2018: Early Risk Prediction on the Internet
  Diana Ramírez-Cifuentes, Ana Freire
• Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia
  Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
• A Neural Network Approach to Early Risk Detection of Depression and Anorexia on Social Media Text
  Yu-Tseng Wang, Hen-Hsen Huang, Hsin-Hsi Chen

Checkthat - Automatic Identification and Verification of Political Claims

• Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness
  Pepa Atanasova, Lluis Marquez, Alberto Barron-Cedeno, Tamer Elsayed, Reem Suwaileh, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov
• Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality
  Alberto Barron-Cedeno, Tamer Elsayed, Reem Suwaileh, Lluis Marquez, Pepa Atanasova, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov
• IRIT at CheckThat! 2018
  Romain Agez, Clément Bosc, Cédric Lespagnol, Noémie Petitcol, Josiane Mothe
• UPV-INAOE - Check That: An Approach based on External Sources to Detect Claims Credibility
  Bilal Ghanem, Manuel Montes-Y-Gómez, Francisco Rangel, Paolo Rosso
• UPV-INAOE - Check That: Preliminary Approach for Checking Worthiness of Claims
  Bilal Ghanem, Manuel Montes-Y-Gómez, Francisco Rangel, Paolo Rosso
• The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab
  Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma
• Check It Out : Politics and Neural Networks
  Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma
• The Copenhagen Team Participation in the Factuality Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 Fact Checking Lab
  Dongsheng Wang, Jakob Grue Simonsen, Birger Larsen, Christina Lioma
• bigIR at CLEF 2018: Detection and Verification of Check-Worthy Political Claims
  Khaled Yasser, Mucahid Kutlu, Tamer Elsayed
• A Hybrid Recognition System for Check-worthy Claims Using Heuristics and Supervised Learning
  Chaoyuan Zuo, Ayla Karakas, Ritwik Banerjee