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Vol-2380
urn:nbn:de:0074-2380-0
Copyright © 2019 for
the individual papers by the papers' authors.
Copyright © 2019 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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CLEF 2019
CLEF 2019 Working Notes
Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum
Lugano, Switzerland, September 9-12, 2019.
Edited by
Linda Cappellato *
Nicola Ferro *
David E. Losada **
Henning Müller ***
*
Department of Information Engineering (DEI),
University of Padua, Via Gradenigo 6/B, 35131, Padova, Italy
**
Centro Singular de Investigación en Tecnoloxías da Información (CITIUS),
University of Santiago de Compostela, Santiago de Compostela, Spain
***
University of Applied Sciences Western Switzerland,
Sierre (HES-SO), Switzerland
Table of Contents
-
Preface
Linda Cappellato,
Nicola Ferro,
David E. Losada,
Henning Müller
CENTRE@CLEF - CLEF/NTCIR/TREC Reproducibility
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
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Style Change Detection by Threshold Based and Window Merge Clustering Methods
Sukanya Nath
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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
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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
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Detecting Bot Accounts on Twitter by Measuring Message Predictability
Piotr Przybyła
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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
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Celebrity Profiling using TF-IDF, Logistic Regression, and SVM
Victor Radivchev,
Alex Nikolov,
Alexandrina Lambova
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Cross-domain Authorship Attribution: Author Identification using a Multi-Aspect Ensemble Approach
Mostafa Rahgouy,
Hamed Babaei Giglou,
Taher Rahgooy,
Mohammad Karami Sheykhlan,
Erfan Mohammadzadeh
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Bot and Gender Identification from Twitter
Radarapu Rakesh,
Yogesh Vishwakarma,
Akkajosyula Surya Sai Gopal,
Anand Kumar M
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Bots and Gender Classification on Twitter
Usman Saeed,
Farid Shirazi
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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
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Word Distance Approach for Celebrity Profiling
Muhammad Usman Asif,
Muhammad Naeem,
Zeeshan Ramzan,
Fahad Najib
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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
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Bot and Gender Recognition on Tweets using Feature Count Deviations
Hans Van Halteren
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Cross-Domain Authorship Attribution with Federales
Hans Van Halteren
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Bot and Gender Identification in Twitter using Word and Character N-Grams
Inna Vogel,
Peter Jiang
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Style Change Detection with Feed-forward Neural Networks
Chaoyuan Zuo,
Yu Zhao,
Ritwik Banerjee
ProtestNews - Extracting Protests from News
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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
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A Comparative Study on Generalizability of Information Extraction Models on Protest News
Erkan Basar,
Simge Ekiz,
Antal van den Bosch
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ProTestA: Identifying and Extracting Protest Events in News Notebook for ProtestNews Lab at CLEF 2019
Angelo Basile,
Tommaso Caselli
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Linguistic Parameters and Word Embeddings for Protest News Detection in Text.
Bechikh Ali Chedi
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ELMo Word Representations For News Protection
Elizaveta Maslennikova
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Classification and Event Identification Using Word Embedding
Anais Ollagnier,
Hywel Williams
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Multitask Models for Supervised Protest Detection in Texts
Benjamin J. Radford
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Event Sentence Detection Task Using Attention Model
Ali Safaya
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CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction
Gabriella Skitalinskaya,
Jonas Klaff,
Maximilian Spliethöver
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Extracting Protests from News Using LSTM models with different Attention Mechanisms
Thenmozhi D,
Aravindan Chandrabose,
Abishek Shyamsunder,
Adithya Viswanathan,
Akash Kumar Pujari,
2019-07-23: submitted by Nicola Ferro,
metadata incl. bibliographic data published under Creative Commons CC0
2019-07-23: published on CEUR-WS.org
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