CLEF 2019
CLEF 2019 Working Notes

Table of Contents

• Preface
  Linda Cappellato , Nicola Ferro , David E. Losada , Henning Müller

CENTRE@CLEF - CLEF/NTCIR/TREC Reproducibility

• CENTRE@CLEF2019: Overview of the Replicability and Reproducibility Tasks
  Nicola Ferro , Norbert Fuhr , Maria Maistro , Tetsuya Sakai , Ian Soboroff
• Replicability and Reproducibility of Automatic Routing Runs
  Timo Breuer , Philipp Schaer

CheckThat! - Automatic Identification and Verification of Claims

• Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 1: Check-Worthiness
  Pepa Atanasova , Preslav Nakov , Georgi Karadzhov , Mitra Mohtarami , Giovanni Da San Martino
• Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 2: Evidence and Factuality
  Maram Hasanain , Reem Suwaileh , Tamer Elsayed , Alberto Barrón-Cedeño , Preslav Nakov
• TOBB-ETU at CLEF 2019: Prioritizing Claims Based on Check-Worthiness
  Bahadir Altun , Mucahid Kutlu
• CheckThat! 2019 UAICS
  Lucia Georgiana Coca , Ciprian-Gabriel Cusmuliuc , Adrian Iftene
• A Hybrid Model to Rank Sentences for Check-worthiness
  Rudra Dhar , Subhabrata Dutta , Dipankar Das
• TheEarthIsFlat’s Submission to CLEF’19CheckThat! Challenge
  Luca Favano , Mark J. Carman , Pier Luca Lanzi
• UPV-UMA at CheckThat! Lab: Verifying Arabic Claims using a Cross Lingual Approach
  Bilal Ghanem , Goran Glavaš , Anastasia Giachanou , Simone Paolo Ponzetto , Paolo Rosso , Francisco Rangel
• The IPIPAN Team Participation in the Check-Worthiness Task of the CLEF2019 CheckThat! Lab
  Jakub Gąsior , Piotr Przybyła
• Neural Weakly Supervised Fact Check-Worthiness Detection with Contrastive Sampling-Based Ranking Loss
  Casper Hansen , Christian Hansen , Jakob Grue Simonsen , Christina Lioma
• bigIR at CLEF 2019: Automatic Verification of Arabic Claims over the Web
  Fatima Haouari , Zien Sheikh Ali , Tamer Elsayed
• Check That! Automatic Identification and Verification of Claims: IIT(ISM) @CLEF'19 Check Worthiness
  Ritesh Kumar , Shivansh Prakash , Shashank Kumar , Rajendra Pamula
• Using External Knowledge Bases and Coreference Resolution for Detecting Check-Worthy Statements
  Salar Mohtaj , Tilo Himmelsbach , Vinicius Woloszyn , Sebastian Möller
• Entity Detection for Check-worthiness Prediction: Glasgow Terrier at CLEF CheckThat! 2019
  Ting Su , Craig Macdonald , Iadh Ounis
• Automatic Verification of Political Claims Based on Morphological Features
  Ibtissam Touahri , Azzeddine Mazroui ,

CLEF eHealth

• CLEF 2019 Technology Assisted Reviews in Empirical Medicine Overview
  Evangelos Kanoulas , Dan Li , Leif Azzopardi , Rene Spijker
• Overview of the CLEF eHealth 2019 Multilingual Information Extraction
  Mariana Neves , Daniel Butzke , Antje Dörendahl , Nora Leich , Benedikt Hummel , Gilbert Schönfelder , Barbara Grune
• DEMIR at CLEF eHealth 2019: Information Retrieval based Classification of Animal Experiments Summaries
  Nizar Ahmed , Alirıza Arıbaş , Adil Alpkocak
• Ranking Studies for Systematic Reviews Using Query Adaptation: University of Sheffield’s Approach to CLEF eHealth 2019 Task 2
  Amal Alharbi , Mark Stevenson
• MLT-DFKI at CLEF eHealth 2019: Multi-label Classification of ICD-10 Codes with BERT
  Saadullah Amin , Guenter Neumann , Katherine Dunfield , Anna Vechkaeva , Kathryn Annette Chapman , Morgan Kelly Wixted
• Classification of Animal Experiments: A Reproducible Study. IMS Unipd at CLEF eHealth Task 1
  Giorgio Maria Di Nunzio
• A Distributed Effort Approach for Systematic Reviews. IMS Unipd At CLEF 2019 eHealth Task 2
  Giorgio Maria Di Nunzio
• Deep Learning Approach for Semantic Indexing of Animal Experiments Summaries in German Language
  Kayalvizhi S , Thenmozhi D , Aravindan Chandrabose
• Automatic Thresholding by Sampling Documents and Estimating Recall
  Dan Li , Evangelos Kanoulas
• Classifying German Animal Experiment Summaries with Multi-lingual BERT at CLEF eHealth 2019 Task 1
  Mario Sänger , Leon Weber , Madeleine Kittner , Ulf Leser

eRisk - Early Risk Prediction on the Internet

• Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview)
  David E. Losada , Fabio Crestani , Javier Parapar
• Transfer Learning for Depression: Early Detection and Severity Prediction from Social Media Postings
  Pegah Abed-Esfahani , Derek Howard , Marta Maslej , Sejal Patel , Vamika Mann , Sarah Goegan , Leon French
• INAOE-CIMAT at eRisk 2019: Detecting Signs of Anorexia using Fine-Grained Emotions
  Mario Ezra Aragon , Adrian Pastor Lopez-Monroy , Manuel Montes-Y-Gomez
• UNSL at eRisk 2019: a Unified Approach for Anorexia, Self-harm and Depression Detection in Social Media
  Sergio G. Burdisso , Marcelo Errecalde , Manuel Montes-Y-Gómez
• Uppsala University and Gavagai at CLEF eRISK: Comparing Word Embedding Models
  Elena Fano , Jussi Karlgren , Joakim Nivre
• UDE at eRisk 2019: Early Risk Prediction on the Internet
  Razan Masood , Faneva Ramiandrisoa , Ahmet Aker
• Quick and (maybe not so) Easy Detection of Anorexia in Social Media Posts
  Elham Mohammadi , Hessam Amini , Leila Kosseim
• A Baseline Approach for Early Detection of Signs of Anorexia and Self-harm in Reddit Posts
  Nona Naderi , Julien Gobeill , Douglas Teodoro , Emilie Pasche , Patrick Ruch
• LTL-INAOE's Participation at eRisk 2019: Detecting Anorexia in Social Media through Shared Personal Information
  Rosa María Ortega-Mendoza , Delia Irazu Hernandez Farias , Manuel Montes-Y-Gómez
• Integrating UMLS for Early Detection of Sings of Anorexia
  Flor Miriam Plaza del Arco , Pilar López Úbeda , Manuel Carlos Díaz Galiano , Luis Alfonso Ureňa López , María Teresa Martín Valdivia
• Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media
  Waleed Ragheb , Jérôme Azé , Sandra Bringay , Maximilien Servajean
• Early Detection of Anorexia using RNN-LSTM and SVM Classifiers
  Akshaya Ranganathan , Haritha A , Thenmozhi D , Chandrabose Aravindan
• Early Risk Prediction by means of DeepLearning
  Pablo Ráez García Retamero , Isabel Segura Bedmar
• A Data-Driven Approach for Measuring the Severity of the Signs of Depression using Reddit Posts
  Paul van Rijen , Douglas Teodoro , Nona Naderi , Luc Mottin , Julien Knafou , Matt Jeffryes , Patrick Ruch
• BioInfo@UAVR at eRisk 2019: delving into Social Media Texts for the Early Detection of Mental and Food Disorders
  Alina Trifan , José Luis Oliveira

LifeCLEF - Biodiversity Identification and Prediction

• Overview of LifeCLEF Plant Identification Task 2019: diving into Data Deficient Tropical Countries
  Hervé Goëau Pierre Bonnet , Alexis Joly
• Overview of BirdCLEF 2019: Large-Scale Bird Recognition in Soundscapes
  Stefan Kahl , Fabian-Robert Stöter , Hervé Goëau , Hervé Glotin , Bob Planque , Willem-Pier Vellinga , Alexis Joly
• Overview of GeoLifeCLEF 2019: Plant Species Prediction using Environment and Animal Occurrences
  Christophe Botella , Maximilien Servajean , Pierre Bonnet , Alexis Joly
• Location-Based Species Recommendation - GeoLifeCLEF 2019 Challenge
  Costel-Sergiu Atodiresei , Adrian Iftene
• Inception-v3 Based Method of LifeCLEF 2019 Bird Recognition
  Jisheng Bai , Bolun Wang , Chen Chen , Jianfeng Chen , Zhonghua Fu
• Plant Identication on Amazonian and Guiana Shield Flora: NEUON submission to LifeCLEF 2019 Plant
  Sophia Chulif , Kiat Jing Heng , Teck Wei Chan , Mohammad Abdullah Al Monnaf , Yang Loong Chang
• Species Recommendation using Machine Learning - GeoLifeCLEF 2019
  Nanda H Krishna , Praveen Kumar R , Ram Kaushik R , Mirunalini P , Aravindan Chandrabose , Jaisakthi S M
• Bird Sound Classification Using Convolutional Neural Networks
  Chih-Yuan Koh , Jaw-Yuan Chang , Chiang-Lin Tai , Da-Yo Huang , Han-Hsing Hsieh , Yi-Wen Liu
• Bird Species Identification in Soundscapes
  Mario Lasseck
• Species Recommendation using Intensity Models and Sampling Bias Correction (GeoLifeCLEF 2019: Lof_of_Lof team)
  Pascal Monestiez , Christophe Botella
• Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge
  Mathilde Negri , Maximilien Servajean , Benjamin Deneu , Alexis Joly
• Non-local DenseNet for Plant CLEF 2019 Contest
  Dat Nguyen Thanh , Georges Quénot , Lorraine Goeuriot
• Recognition of the Amazonian flora by InceptionNetworks with Test-time Class Prior Estimation
  Lukáš Picek , Milan Šulc , Jiří Matas
• Plant Recommendation using Environment and Biotic Associations
  Sara Si-Moussi , Mickael Hedde , Wilfried Thuiller

ImageCLEF - Multimedia Retrieval in CLEF

• Overview of ImageCLEFtuberculosis 2019 - Automatic CT-based Report Generation and Tuberculosis Severity Assessment
  Yashin Dicente Cid , Vitali Liauchuk , Dzmitri Klimuk , Aleh Tarasau , Vassili Kovalev , Henning Müller
• Overview of ImageCLEFcoral 2019 Task
  Jon Chamberlain , Antonio Campello , Jessica P Wright , Louis G Clift , Adrian F Clark , Alba García Seco De Herrera
• Overview of ImageCLEFlifelog 2019: Solve My Life Puzzle and Lifelog Moment Retrieval
  Duc-Tien Dang-Nguyen , Luca Piras , Michael Riegler , Liting Zhou , Mathias Lux , Minh-Triet Tran , Tu-Khiem Le , Van-Tu Ninh , Cathal Gurrin
• Overview of the ImageCLEFmed 2019 Concept Detection Task
  Obioma Pelka , Christoph M. Friedrich , Alba G. Seco de Herrera , Henning Müller
• Overview of the ImageCLEFsecurity 2019: File Forgery Detection Tasks
  Konstantinos Karampidis , Nikos Vasilopoulos , Carlos Cuevas , Carlos Roberto Del-Blanco , Ergina Kavallieratou , Narciso García
• VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019
  Asma Ben Abacha1 , Sadid A. Hasan , Vivek V. Datla , Joey Liu , Dina Demner-Fushman , Henning Müller
• JUST at ImageCLEF 2019 Visual Question Answering in the Medical Domain
  Aisha Al-Sadi , Bashar Talafha , Mahmoud Al-Ayyoub , Yaser Jararweh , Fumie Costen
• An Encoder-Decoder Model for Visual Question Answering in the Medical Domain
  Imane Allaouzi , Mohamed Ben Ahmed , Badr Benamrou
• A Weighted Rule-Based Model for File Forgery Detection: UA.PT Bioinformatics at ImageCLEF 2019
  João Rafael Almeida , Pedro Freire , Olga Fajarda , José Luís Oliveira
• Medical Visual Question Answering at Image CLEF 2019- VQA Med
  Mohit Bansal , Tanmay Gadgil , Rishi Shah , Parag Verma
• Big Data For Lifelog Moments Retrieval Improvement
  Fatma Ben Abdallah , Ghada Feki , Anis Ben Ammar , Chokri Ben Amar
• Feature and Deep Learning Based Approaches for Automatic Report Generation and Severity Scoring of Lung Tuberculosis from CT Images
  Kirill Bogomasov , Daniel Braun , Andreas Burbach , Ludmila Himmelspach , Stefan Conrad
• A two-staged Approach for Localization and Classification of Coral Reef Structures and Compositions
  Kirill Bogomasov , Philipp Grawe , Stefan Conrad
• Tlemcen University at ImageCLEF 2019 Visual Question Answering Task
  Rabia Bounaama , Mohammed El Amine Abderrahim ,
• Automatic Classification of Coral Images using Color and Textures
  Cristina M.R. Caridade , André R.S. Marcal
• BIDAL@imageCLEFlifelog2019: The Role of Content and Context of Daily Activities in Insights from Lifelogs
  Minh-Son Dao , Anh-Khoa Vo , Trong-Dat Phan , Koji Zettsu
• Lung Graph-Model Classification with SVM and CNN for Tuberculosis Severity Assessment and Automatic CT Report Generation
  Yashin Dicente Cid , Henning Müller
• Multimedia Lab @ ImageCLEF 2019 Lifelog Moment Retrieval Task
  Mihai Dogariu , Bogdan Ionescu
• ImageCLEF2019: Tuberculosis - Severity Scoring and CT Report with Neural Networks, Transfer Learning and Ensembling
  Amilcare Gentili
• ImageCLEF2019 Security - Forged File Discovery and Stego Image Discovery Tasks
  Amilcare Gentili , Paolo Gentili
• Informative and Intriguing Visual Features: UA.PT Bioinformatics in ImageCLEF Caption 2019
  Ana Jorge Gonçalves , Eduardo Pinho , Carlos Costa
• ImageSem at ImageCLEFmed Caption 2019 Task: a Two-stage Medical Concept Detection Strategy
  Zhen Guo , Xuwen Wang , Yu Zhang , Jiao Li
• ImageCLEF 2019: Deep Learning for Tuberculosis CT Image Analysis
  Abdelkader Hamadi , Noreddine Belhadj Cheikh , Yamina Zouatine , Si Mohamed Bekkai Menad , Mohamed Redha Djebbara
• Solving Life Puzzle with Visual Context-based Clustering and Habit Reference
  Trung-Hieu Hoang , Mai-Khiem Tran , Vinh-Tiep Nguyen , Minh-Triet Tran
• ImageCLEF 2019: CT Image Analysis for TB Severity Scoring and CT Report Generation using Autoencoded Image Features
  Siarhei Kazlouski
• Leveraging Medical Visual Question Answering with Supporting Facts
  Tomasz Kornuta , Deepta Rajan , Chaitanya Shivade , Alexis Asseman , Ahmet Ozcan
• AUEB NLP Group at ImageCLEFmed Caption 2019
  Vasiliki Kougia , John Pavlopoulos , Ion Androutsopoulos
• Lifelog Moment Retrieval with Advanced Semantic Extraction and Flexible Moment Visualization for Exploration
  Nguyen-Khang Le , Dieu-Hien Nguyen , Vinh-Tiep Nguyen , Minh-Triet Tran
• ImageCLEF 2019: Projection-based CT Image Analysis for TB Severity Scoring and CT Report Generation
  Vitali Liauchuk
• An Xception-GRU Model for Visual Question Answering in the Medical Domain
  Shengyan Liu , Xiaozhi Ou , Jiao Che , Xiaobing Zhou , Haiyan Ding
• Using improved Optical Flow Model to Detect Tuberculosis
  Fernando Llopis , Andrés Fuster-Guilló , Jorge Azorín-López , Irene Llopis
• Recurrent Attention Networks for Medical Concept Prediction
  Sam Maksoud , Arnold Wiliem , Brian Lovell
• Image Steganalysis with Very Deep Convolutional Neural Networks
  Naoya Mamada
• Multi-View CNN with MLP for Diagnosing Tuberculosis Patients Using CT Scans and Clinically Relevant Metadata
  Abdela Ahmed Mossa , Abdulkerim Mohammed Yibre , Ulus Çevik
• LIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval System
  Van-Tu Ninh , Tu-Khiem Le , Liting Zhou , Luca Piras , Michael Riegler , Mathias Lux , Minh-Triet Tran , Cathal Gurrin , Duc-Tien Dang-Nguyen
• Predicting Tuberculosis Related Lung Deformities from CT Scan Images Using 3D CNN
  Anup Pattnaik , Sarthak Kanodia , Rahul Chowdhury , Smita Mohanty
• UA.PT Bioinformatics at ImageCLEF 2019: Lifelog Moment Retrieval based on Image Annotation and Natural Language Processing
  Ricardo Ribeiro , António J. R. Neves , José Luis Oliveira
• ImageCLEF 2019: A 2D Convolutional Neural Network Approach for Severity Scoring of Lung Tuberculosis using CT Images
  Kavitha S , Nandhinee P R , Harshana S , Jahnavi Srividya S , Harrinei K
• Coral Reef Annotation and Localization using Faster R-CNN
  Jaisakth S M , Mirunalini Palaniappan , Aravindan Chandrabose
• Deep Multimodal Learning for Medical Visual Question Answering
  Lei Shi , Feifan Liu , Max P. Rosen
• Biomedical Concept Detection in Medical Images: MQ-CSIRO at 2019 ImageCLEFmed Caption Task
  Sonit Singh , Sarvnaz Karimi , Kevin Ho-Shon , Len Hamey
• Full Training versus Fine Tuning for Radiology Images Concept Detection Task for the ImageCLEF 2019 Challenge
  Priyanshu Sinha , Saptarshi Purkayastha , Judy Gichoya
• LSTM in VQA-Med, is It Really Needed? JCE Study on the ImageCLEF 2019 Dataset
  Avi Turner , Assaf Spanier
• Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques
  M. Srinivas , Akshay Nayak , Abhishek Bhatt
• Deep Segmentation: using Deep Convolutional Networks for Coral Reef pixel-wise Parsing
  Aljoscha Steffens , Antonio Campello , James Ravenscroft , Adrian Clark , Hani Hagras
• ImageCLEFmed Tuberculosis 2019: Predicting CT Scans Severity Scores using Stage-Wise Boosting in Low-Resource Environments
  Augustus Tabarcea , Valentin Rosca , Adrian Iftene
• Automated Lifelog Moment Retrieval based on Image Segmentation and Similarity Scores
  Stefan Taubert , Stefan Kahl , Danny Kowerko , Maximilian Eibl
• MIT Manipal at ImageCLEF 2019 Visual Question Answering in Medical Domain
  Abhishek Thanki , Krishnamoorthi Makkithaya
• A Multimedia Modular Approach to Lifelog Moment Retrieval
  Maxime Tournadre , Guillaume Dupont , Vincent Pauwels , Bezeid Cheikh Mohamed Lmami , Alexandru Lucian Ginsca
• Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF 2019 Challenge in the Medical Domain
  Minh H. Vu , Raphael Sznitman , Tufve Nyholm , Tommy Löfstedt
• AI600 Lab at ImageCLEF 2019 Concept Detection Task
  Xinyi Wang , Ningning Liu
• Concept Detection based on Multi-label Classification and Image Captioning Approach - DAMO at ImageCLEF 2019
  Jing Xu , Wei Liu , Chao Liu , Yu Wang , Ying Chi , Xuansong Xie , Xiansheng Hua
• Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain
  Xin Yan , Lin Li , Chulin Xie , Jun Xiao , Lin Gu
• ZJUTCVR Team at ImageCLEFlifelog2019 Lifelog Moment Retrieval Task
  Pengfei Zhou , Cong Bai , Jie Xia
• TUA1 at ImageCLEF 2019 VQA-Med: a Classification and Generation Model based on Transfer Learning
  Yangyang Zhou , Xin Kang , Fuji Ren
• Estimating Severity from CT Scans of Tuberculosis Patients using 3D Convolutional Nets and Slice Selection
  Hasib Zunair , Aimon Rahman , Nabeel Mohammed

PAN Lab on Digital Text Forensics and Stylometry

• Overview of the Celebrity Profiling Task at PAN 2019
  Matti Wiegmann , Benno Stein , Martin Potthast
• Overview of the Style Change Detection Task at PAN 2019
  Eva Zangerle , Michael Tschuggnall , Günther Specht , Benno Stein , Martin Potthast
• Overview of the 7th Author Profiling Task at PAN 2019: Bots and Gender Profiling in Twitter
  Francisco Rangel , Paolo Rosso
• Overview of the Cross-domain Authorship Attribution Task at PAN 2019
  Mike Kestemont , Efstathios Stamatatos , Enrique Manjavacas , Walter Daelemans , Martin Potthast , Benno Stein
• Bots and Gender Prediction Using Language Independent Stylometry-based Approach
  Shaina Ashraf , Omer Javed , Muhammad Adeel , Haider Iqbal , Rao Muhmmad Adeel Nawab
• Author Profiling: Bot and Gender Prediction using a Multi-Aspect Ensemble Approach
  Hamed Babaei Giglou , Mostafa Rahgouy , Taher Rahgooy , Mohammad Karami Sheykhlan , Erfan Mohammadzadeh
• Bot and Gender Detection of Twitter Accounts Using Distortion and LSA
  Andrea Bacciu , Massimo La Morgia , Alessandro Mei , Eugenio Nerio Nemmi , Valerio Neri , Julinda Stefa
• Cross-Domain Authorship Attribution Combining Instance Based and Profile-Based Features
  Andrea Bacciu , Massimo La Morgia , Alessandro Mei , Eugenio Nerio Nemmi , Valerio Neri , Julinda Stefa
• Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features
  Martijn Bartelds , Wietse de Vries
• An Open-Vocabulary Approach to Authorship Attribution
  Angelo Basile
• Bot Or Not: A Two-Level Approach In Author Profiling
  Flora Bolonyai , Jakab Buda , Eszter Katona
• Tlemcen University: Bots and Gender Profiling Task
  Rabia Bounaama , Mohammed El Amine Abderrahim
• Unsupervised Pretraining for Text Classification using Siamese Transfer Learning
  Maximilian Bryan , J. Nathanael Philipp
• A Hierarchical Neural Network Approach for Bots and Gender Profiling
  Andrea Cimino , Felice Dell'Orletta
• Multi-channel Open-set Cross-domain Authorship Attribution
  José Eleandro Custódio , Ivandré Paraboni
• Combined CNN+RNN Bot and Gender Profiling
  Rafael Felipe Sandroni Dias , Ivandré Paraboni
• Bots and Gender Profiling using Character Bigrams
  Daniel Yacob Espinosa , Helena Gómez-Adorno , Grigori Sidorov
• Profiling Twitter Users Using Autogenerated Features Invariant to Data Distribution
  Tiziano Fagni , Maurizio Tesconi
• A Four Feature Types Approach for Detecting Bot and Gender of Twitter Users
  Johan Fernquist
• Identifying Twitter Bots Using a Convolutional Neural Network
  Michael Färber , Agon Qurdina , Lule Ahmedi
• Naive-Bayesian Classification for Bot Detection in Twitter
  Pablo Gamallo , Sattam Almatarneh
• Bot and Gender Detection using Textual and Stylistic Information
  Anastasia Giachanou , Bilal Ghanem
• Using Hashtags and POS-Tags for Author Profiling
  Flurin Gishamer
• Bots and Gender Profiling using a Multi-layer Architecture
  Régis Goubin , Dorian Lefeuvre , Alaa Alhamzeh , Jelena Mitrović , Előd Egyed-Zsigmond , Leopold Ghemmogne Fossi
• Bots and Gender Profiling of Tweets using Word and Character N-Grams
  Yaakov HaCohen-Kerner , Natan Manor , Michael Goldmeier
• An Unsophisticated Neural Bots and Gender Profiling System
  Oren Halvani , Philipp Marquardt
• UniNE at PAN-CLEF 2019: Bots and Gender Task
  Catherine Ikae , Sukunya Nath , Jacques Savoy
• Bots and Gender Profiling using Masking Techniques
  Victor Jimenez-Villar , Javier Sánchez-Junquera , Manuel Montes-Y-Gómez , Luis Villaseñor-Pineda , Simone Paolo Ponzetto
• Supervised Classification of Twitter Accounts Based on Textual Content of Tweets
  Fredrik Johansson
• FOI Cross-Domain Authorship Attribution for Criminal Investigations
  Fredrik Johansson , Tim Isbister ,
• Author Profiling on Social Media: An Ensemble Learning Approach using Various Features
  Youngjun Joo , Inchon Hwang
• Twitter User Profiling: Bot and Gender Identification
  Dijana Kosmajac , Vlado Keselj
• Author Profiling using Semantic and Syntactic Features
  György Kovács , Vanda Balogh , Purvanshi Mehta , Kumar Shridhar , Pedro Alonso , Marcus Liwicki
• An Evolutionary Approach to Build User Representations for Profiling of Bots and Humans in Twitter
  Jesus López-Santillán , Luis González-Gurrola , Manuel Montes-Y-Gómez , Graciela Ramírez-Alonso , Olanda Prieto-Ordaz
• Twitter Bots and Gender Detection using Tf-idf
  Asad Mahmood , Padmini Srinivasan
• Who is Hot and Who is Not? Profiling Celebs on Twitter
  Matej Martinc , Blaž Škrlj , Senja Pollak
• Fake or Not: Distinguishing between Bots, Males and Females
  Matej Martinc , Blaž Škrlj , Senja Pollak
• Authorship Attribution through Punctuation n-grams and Averaged Combination of SVM
  Carolina Martín del Campo Rodríguez , Daniel Alejandro Pérez Álvarez , Christian Efraín Maldonado Sifuentes , Grigori Sidorov , Ildar Batyrshin , Alexander Gelbukh
• Celebrity Profiling on Twitter using Sociolinguistic Features
  Luis Gabriel Moreno-Sandoval , Edwin Puertas , Flor Miriam Plaza-del-Arco , Alexandra Pomares-Quimbaya , Jorge Andrés Alvarado-Valencia , L. Alfonso Ureňa-López
• Authorship Attribution in Fan-fictional Texts given Variable Length Character and Word n-grams
  Lukas Muttenthaler , Gordon Lucas , Janek Amann
• Style Change Detection by Threshold Based and Window Merge Clustering Methods
  Sukanya Nath
• Bot and Gender Identification: Textual Analysis of Tweets
  Rodrigo Ribeiro Oliveira , Cláudio Moisés Valiense de Andrade , José Solenir Lima Figuerêdo , João B. Rocha-Junior , Rodrigo Tripodi Calumby , Iago Machado da Conceição Silva , Almir Moreira da Silva Neto
• A Hierarchical Attention Network for Bots and Gender Profiling
  Cristian Onose , Claudiu-Marcel Nedelcu , Dumitru-Clementin Cercel , Stefan Trausan-Matu
• Celebrity Profiling with Transfer Learning
  Björn Pelzer
• Bots and Gender Profiling with Convolutional Hierarchical Recurrent Neural Network
  Juraj Petrik , Daniela Chuda
• Twitter Feeds Profiling with TF-IDF
  Juraj Petrik , Daniela Chuda
• Using N-grams to detect Bots on Twitter
  Juan Pizarro
• Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents
  Marco Polignano , Marco Giuseppe de Pinto , Pasquale Lops , Giovanni Semeraro
• Bots and Gender Profiling using a Deep Learning Approach
  Jose R. Prieto Fontcuberta , Gretel Liz De La Peňa Sarracén
• Detecting Bot Accounts on Twitter by Measuring Message Predictability
  Piotr Przybyła
• Bots and Gender Profiling on Twitter using Sociolinguistic Features
  Edwin Puertas , Luis Gabriel Moreno-Sandoval , Flor Miriam Plaza-del-Arco , Jorge Andres Alvarado-Valencia , Alexandra Pomares-Quimbaya , L. Alfonso Ureňa-López
• Celebrity Profiling using TF-IDF, Logistic Regression, and SVM
  Victor Radivchev , Alex Nikolov , Alexandrina Lambova
• Cross-domain Authorship Attribution: Author Identification using a Multi-Aspect Ensemble Approach
  Mostafa Rahgouy , Hamed Babaei Giglou , Taher Rahgooy , Mohammad Karami Sheykhlan , Erfan Mohammadzadeh
• Bot and Gender Identification from Twitter
  Radarapu Rakesh , Yogesh Vishwakarma , Akkajosyula Surya Sai Gopal , Anand Kumar M
• Bots and Gender Classification on Twitter
  Usman Saeed , Farid Shirazi
• Bots and Gender Profiling on Twitter
  Muhammad Hammad Fahim Siddiqui , Iqra Ameer , Alexander Gelbukh , Grigori Sidorov
• Bots and Gender Profiling using Character and Word N-Grams
  Mahendrakar Srinivasarao , Siddharth Manu
• Stacked Bots and Gender Prediction from Twitter Feeds
  Todor Staykovski
• Word Distance Approach for Celebrity Profiling
  Muhammad Usman Asif , Muhammad Naeem , Zeeshan Ramzan , Fahad Najib
• Bots and Gender Identification Based on Stylometry of Tweet Minimal Structure and n-grams Model
  Alex I. Valencia Valencia , Helena Gomez Adorno , Christopher Stephens Rhodes , Gibran Fuentes Pineda
• Bot and Gender Recognition on Tweets using Feature Count Deviations
  Hans Van Halteren
• Cross-Domain Authorship Attribution with Federales
  Hans Van Halteren
• Bot and Gender Identification in Twitter using Word and Character N-Grams
  Inna Vogel , Peter Jiang
• Style Change Detection with Feed-forward Neural Networks
  Chaoyuan Zuo , Yu Zhao , Ritwik Banerjee

ProtestNews - Extracting Protests from News

• Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context setting
  Ali Hürriyetoğlu , Erdem Yörük , Deniz Yuret , Çağrı Yoltar , Burak Gürel , Fırat Duruşan , Osman Mutlu , Arda Akdemir
• A Comparative Study on Generalizability of Information Extraction Models on Protest News
  Erkan Basar , Simge Ekiz , Antal van den Bosch
• ProTestA: Identifying and Extracting Protest Events in News Notebook for ProtestNews Lab at CLEF 2019
  Angelo Basile , Tommaso Caselli
• Linguistic Parameters and Word Embeddings for Protest News Detection in Text.
  Bechikh Ali Chedi
• ELMo Word Representations For News Protection
  Elizaveta Maslennikova
• Classification and Event Identification Using Word Embedding
  Anais Ollagnier , Hywel Williams
• Multitask Models for Supervised Protest Detection in Texts
  Benjamin J. Radford
• Event Sentence Detection Task Using Attention Model
  Ali Safaya
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