CLEF 2020
CLEF 2020 Working Notes

Table of Contents

• Preface
  Linda Cappellato , Carsten Eickhoff , Nicola Ferro , Aurélie Névéol

ARQMath: Answer Retrieval for Questions on Math

• Overview of ARQMath 2020 (Updated Working Notes Version): CLEF Lab on Answer Retrieval for Questions on Math
  Richard Zanibbi , Douglas Oard , Anurag Agarwal , Behrooz Mansouri
• An Analysis of Variable-Size Vector Based Approach for Formula Searching
  Pankaj Dadure , Partha Pakray , Sivaji Bandyopadhyay
• DPRL Systems in the CLEF 2020 ARQMath Lab
  Behrooz Mansouri , Douglas Oard , Richard Zanibbi
• Dowsing for Math Answers with Tangent-L
  Yin Ki Ng , Dallas Fraser , Besat Kassaie , George Labahn , Mirette Marzouk , Frank Tompa , Kevin Wang
• Three is Better than One: Ensembling Math Information Retrieval Systems
  Vít Novotný , Petr Sojka , Michal Štefánik , Dávid Lupták
• PSU at CLEF-2020 ARQMath Track: Unsupervised Re-ranking using Pretraining [short paper]
  Shaurya Rohatgi , Jian Wu , C. Lee Giles
• ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?
  Philipp Scharpf , Moritz Schubotz , André Greiner-Petter , Malte Ostendorff , Olaf Teschke , Bela Gipp

BioASQ: Large-scale Biomedical Semantic Indexing and Question Answering

• Overview of BioASQ 8a and 8b: Results of the Eighth Edition of the BioASQ Tasks a and b
  Anastasios Nentidis , Anastasia Krithara , Konstantinos Bougiatiotis , Georgios Paliouras
• Overview of MESINESP, a Spanish Medical Semantic Indexing Task within BioASQ 2020
  Carlos Rodriguez-Penagos , Anastasios Nentidis , Aitor Gonzalez-Agirre , Alejandro Asensio , Jordi Armengol-Estapé , Anastasia Krithara , Marta Villegas , Georgios Paliouras , Martin Krallinger
• Transfer Learning for Biomedical Question Answering
  Arda Akdemir , Tetsuo Shibuya
• BIT.UA at BioASQ 8: Lightweight Neural Document Ranking with Zero-shot Snippet Retrieval
  Tiago Almeida , Sérgio Matos
• Priberam at MESINESP Multi-label Classification of Medical Texts Task
  Rúben Cardoso , Zita Marinho , Afonso Mendes , Sebastião Miranda
• NCU-IISR: Using a Pre-trained Language Model and Logistic Regression Model for BioASQ Task 8b Phase B
  Jen-Chieh Han , Richard Tzong-Han Tsai
• Transferability of Natural Language Inference to Biomedical Question Answering
  Minbyul Jeong , Mujeen Sung , Gangwoo Kim , Donghyeon Kim , Wonjin Yoon , Jaehyo Yoo , Jaewoo Kang
• Transformer-Based Open Domain Biomedical Question Answering at BioASQ8 Challenge
  Ashot Kazaryan , Uladzislau Sazanovich , Vladislav Belyaev
• Unsupervised Pre-training for Biomedical Question Answering
  Vaishnavi Kommaraju , Karthick Gunasekaran , Kun Li , Trapit Bansal , Andrew McCallum , Ivana Williams , Ana-Maria Istrate
• Statistical Graph Matching for Indexing Spanish Biomedical Documents [short paper]
  Alicia Lara-Clares , Ana García-Serrano
• Hybrid First-stage Retrieval Models for Biomedical Literature [short paper]
  Ji Ma , Ivan Korotkov , Keith Hall , Ryan McDonald
• Query Focused Multi-document Summarisation of Biomedical Texts
  Diego Mollá , Christopher Jones , Vincent Nguyen
• Extreme Multi-Label Classification applied to the Biomedical and Multilingual Panorama
  André Neves , André Lamúrias , Francisco Couto
• AUEB-NLP at BioASQ 8: Biomedical Document and Snippet Retrieval
  Dimitris Pappas , Petros Stavropoulos , Ion Androutsopoulos
• CoLe and LYS at BioASQ MESINESP8 Task: Similarity based Descriptor Assigment in Spanish
  Francisco J. Ribadas-Pena , Shuyuan Cao , Elmurod Kuriyozov
• Query-focused biomedical text summarization in BioASQ 8B [short paper]
  Jainisha Sankhavara , Prasenjit Majumder

CheckThat!: Enabling Automatic Identification and Verification of Claims in Social Media

• Overview of CheckThat! 2020 Arabic: Automatic Identification and Verification of Claims in Social Media
  Maram Hasanain , Fatima Haouari , Reem Suwaileh , Zien Sheikh Ali , Bayan Hamdan , Tamer Elsayed , Alberto Barrón-Cedeño , Giovanni Da San Martino , Preslav Nakov
• Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media
  Shaden Shaar , Alex Nikolov , Nikolay Babulkov , Firoj Alam , Alberto Barrón-Cedeño , Tamer Elsayed , Maram Hasanain , Reem Suwaileh , Fatima Haouari , Giovanni Da San Martino , Preslav Nakov
• QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions
  Rabab Alkhalifa , Theodore Yoong , Elena Kochkina , Arkaitz Zubiaga , Maria Liakata
• Team Buster.ai at CheckThat! 2020: Insights and Recommendations to Improve Fact-Checking
  Mostafa Bouziane , Hugo Perrin , Aurélien Cluzeau , Julien Mardas , Amine Sadeq
• Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
  Gullal S. Cheema , Sherzod Hakimov , Ralph Ewerth
• UAICS at CheckThat! 2020: Fact-checking Claim Prioritization
  Ciprian Gabriel Cusmuliuc , Lucia Georgiana Coca , Adrian Iftene
• bigIR at CheckThat! 2020: Multilingual BERT for Ranking Arabic Tweets by Check-worthiness [short paper]
  Maram Hasanain , Tamer Elsayed
• DamascusTeam at CheckThat! 2020: Check Worthiness on Twitter with Hybrid CNN and RNN Models [short paper]
  Ahmad Hussein , Abdulkarim Hussein , Nada Ghneim , Ammar Joukhadar
• TOBB ETU at CheckThat! 2020: Prioritizing English and Arabic Claims Based on Check-Worthiness
  Yavuz Selim Kartal , Mucahid Kutlu
• SSN_NLP at CheckThat! 2020: Tweet Check Worthiness Using Transformers, Convolutional Neural Networks and Support Vector Machines [short paper]
  Sachin Krishan Thyaharajan , Kayalvizhi Sampath , Thenmozhi Durairaj , Rishivardhan Krishnamoorthy
• NLP&IR@UNED at CheckThat! 2020: A Preliminary Approach for Check-Worthiness and Claim Retrieval Tasks using Neural Networks and Graphs
  Juan R. Martinez-Rico , Lourdes Araujo , Juan Martinez-Romo
• The University of Sheffield at CheckThat! 2020: Claim Identification and Verification on Twitter [short paper]
  Thomas McDonald , Ziqing Dong , Yingji Zhang , Rebekah Hampson , James Young , Qianyu Cao , Jochen L. Leidner , Mark Stevenson
• Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models
  Alex Nikolov , Giovanni Da San Martino , Ivan Koychev , Preslav Nakov
• UNIPI-NLE at CheckThat! 2020: Approaching Fact Checking from a Sentence Similarity Perspective Through the Lens of Transformers
  Lucia C. Passaro , Alessandro Bondielli , Alessandro Lenci , Francesco Marcelloni
• TIET at CLEF CheckThat! 2020: Verified Claim Retrieval [short paper]
  Utsav Shukla , Aayushmaan Sharma
• UB_ET at CheckThat! 2020: Exploring Ad hoc Retrieval Approaches in Verified Claims Retrieval [short paper]
  Edwin Thuma , Nkwebi Peace Motlogelwa , Tebo Leburu-Dingalo , Monkgogi Mudongo
• EvolutionTeam at CLEF2020 - CheckThat! lab : Integration of Linguistic and Sentimental Features in a Fake News Detection Approach
  Ibtissam Touahri , Azzeddine Mazroui
• Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of Claims using Transformer-based Models
  Evan Williams , Paul Rodrigues , Valerie Novak

ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents

• An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents
  Jiayuan He , Dat Quoc Nguyen , Saber A Akhondi , Christian Druckenbrodt , Camilo Thorne , Ralph Hoessel , Zubair Afzal , Zenan Zhai , Biaoyan Fang , Hiyori Yoshikawa , Ameer Albahem , Jingqi Wang , Yuankai Ren , Zhi Zhang , Yaoyun Zhang , Mai Hoang Dao , Pedro Ruas , Andre Lamurias , Francisco M. Couto , Jenny Copara , Nona Naderi , Julien Knafou , Patrick Ruch , Douglas Teodoro , Daniel Lowe , John Mayfield , Abdullatif Köksal , Hilal Dönmez , Elif Özkırımlı , Arzucan Özgür , Darshini Mahendran , Gabrielle Gurdin , Nastassja Lewinski , Christina Tang , Bridget McInnes , Malarkodi C.S. , Pattabhi Rk Rao , Sobha Lalitha Devi , Lawrence Cavedon , Trevor Cohn , Timothy Baldwin , Karin Verspoor
• CLRG ChemNER: A Chemical Named Entity Recognizer @ ChEMU CLEF 2020 [short paper]
  Malarkodi C.S. , Pattabhi Rk Rao , Sobha Lalitha Devi
• Named Entity Recognition in Chemical Patents using Ensemble of Contextual Language Models
  Jenny Copara , Nona Naderi , Julien Knafou , Patrick Ruch , Douglas Teodoro
• VinAI at ChEMU 2020: An Accurate System for Named Entity Recognition in Chemical Reactions from Patents [short paper]
  Mai Hoang Dao , Dat Quoc Nguyen
• BOUN-REX at CLEF-2020 ChEMU Task 2: Evaluating Pretrained Transformers for Event Extraction
  Hilal Dönmez , Abdullatif Köksal , Elif Özkırımlı , Arzucan Özgür
• Extraction of Reactions from Patents using Grammars
  Daniel Lowe , John Mayfield
• NLPatVCU CLEF 2020 ChEMU Shared Task System Description
  Darshini Mahendran , Gabrielle Gurdin , Nastassja Lewinski , Christina Tang , Bridget McInnes
• LasigeBioTM Team at CLEF2020 ChEMU Evaluation Lab: Named Entity Recognition and Event extraction from chemical reactions described in patents using BioBERT NER and RE [short paper]
  Pedro Ruas , Andre Lamurias , Francisco M. Couto
• Melaxtech: A report for CLEF 2020 - ChEMU Task of Chemical Reaction Extraction from Patent
  Jingqi Wang , Yuankai Ren , Zhi Zhang , Yaoyun Zhang

eHealth: Retrieving and Making Sense of Medical Content

• Overview of the CLEF eHealth 2020 Task 2: Consumer Health Search with Ad Hoc and Spoken Queries
  Lorraine Goeuriot , Hanna Suominen , Liadh Kelly , Zhengyang Liu , Gabriella Pasi , Gabriela González Sáez , Marco Viviani , Chenchen Xu
• Overview of Automatic Clinical Coding: Annotations, Guidelines, and Solutions for non-English Clinical Cases at CodiEsp Track of CLEF eHealth 2020
  Antonio Miranda-Escalada , Aitor Gonzalez-Agirre , Jordi Armengol-Estapé , Martin Krallinger
• ICD-10 Coding based on Semantic Distance: LSI_UNED at CLEF eHealth 2020 Task 1
  Mario Almagro , Raquel Martínez , Victor Fresno , Soto Montalvo , Hegler Tissot
• IXA-AAA at CLEF eHealth 2020 CodiEsp. Automatic Classification of Medical Records with Multi-label Classifiers and Similarity Match Coders
  Alberto Blanco , Alicia Pérez , Arantza Casillas
• IAM at CLEF eHealth 2020: Concept Annotation in Spanish Electronic Health Records [short paper]
  Sebastien Cossin , Vianney Jouhet
• Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models
  João Costa , Inês Lopes , André Carreiro , David Ribeiro , Carlos Soares
• MEDIA team: CLEF-2020 eHealth Task 1:Multilingual Information Extraction - CodiEsp [short paper]
  Iker de la Iglesia , Mikel Martínez-Puente , Alex Platas , Iria San Miguel , Aitziber Atutxa , Koldo Gojenola
• A Study on Reciprocal Ranking Fusion in Consumer Health Search. IMS UniPD ad CLEF eHealth 2020 Task 2 [short paper]
  Giorgio Maria Di Nunzio , Stefano Marchesin , Federica Vezzani
• As Simple as Possible: Using the R Tidyverse for Multilingual Information Extraction. IMS UniPD ad CLEF eHealth 2020 Task 1 [short paper]
  Giorgio Maria Di Nunzio
• SehMIC: Semi-hierarchical Multi-label ICD Code Classification
  Sedigheh Eslami , Peter Adorjan , Christoph Meinel
• FLE at CLEF eHealth 2020: Text Mining and Semantic Knowledge for Automated Clinical Encoding
  Nuria García-Santa , Kendrick Cetina
• Transformers in Semantic Indexing of Clinical Codes [short paper]
  Rishivardhan K , Kayalvizhi S , Thenmozhi D , Sachin Krishan , Aravindan Chandrabose
• ICB-UMA at CLEF e-Health 2020 Task 1: Automatic ICD-10 coding in Spanish with BERT
  Guillermo López-García , José M. Jerez , Francisco J. Veredas
• Convolutional Attention Models with Post-Processing Heuristics at CLEF eHealth 2020
  Elias Moons , Marie-Francine Moens
• LIG-Health at Adhoc and Spoken IR Consumer Health Search: expanding queries using UMLS and FastText
  Philippe Mulhem , Gabriela Nicole González Sáez , Aidan Mannion , Didier Schwab , Jibril Frej
• Text Augmentation Techniques for Clinical Case Classification [short paper]
  Anais Ollagnier , Hywel Williams
• SINAI at CLEF eHealth 2020: Testing Different pre-trained Word Embeddings for Clinical Coding in Spanish
  José M. Perea-Ortega , Pilar López-Úbeda , Manuel Carlos Díaz-Galiano , María-Teresa Martín-Valdivia , L. Alfonso Ureña-López
• A study of Machine Learning models for Clinical Coding of Medical Reports at CodiEsp 2020
  Marco Polignano , Vincenzo Suriano , Pasquale Lops , Marco de Gemmis , Giovanni Semeraro
• Classifying Clinical Case Studies with ICD-10 atCodiesp CLEF eHealth 2020 Task 1-Diagnostics [short paper]
  Paula Queipo-Álvarez , Israel Gonzalez-Carrasco
• Multilingual ICD-10 Code Assignment with Transformer Architectures using MIMIC-III Discharge Summaries
  Henning Schäfer , Christoph M. Friedrich
• SandiDoc at CLEF 2020 - Consumer Health Search : AdHoc IR Task [short paper]
  Sandaru Seneviratne , Eleni Daskalaki , Md Zakir Hossain , Artem Lenskiy
• TeamX at CLEF eHealth 2020: ICD Coding with N-gram Encoder and Code-filtering Strategy [short paper]
  Yuki Tagawa , Norihisa Nakano , Ryota Ozaki , Tomoki Taniguchi , Tomoko Ohkuma

eRisk: Early Risk Prediction on the Internet

• Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (Extended Overview)
  David E. Losada , Fabio Crestani , Javier Parapar
• Using Surface and Semantic Features for Detecting Early Signs of Self-Harm in Social Media Postings
  Linda Achilles , Max Kisselew , Johannes Schäfer , Ralph Koelle
• INAOE-CIMAT at eRisk 2020: Detecting Signs of Self-Harm using Sub-Emotions and Words [short paper]
  Mario Ezra Aragon , A. Pastor López-Monroy , Manuel Montes-Y-Gómez
• Detection of Early Sign of Self-harm on Reddit using Multi-level Machine
  Hojjat Bagherzadeh Hosseinabad , Ehsan Fazl-Ersi , Abedin Vahedian
• NLP-UNED at eRisk 2020: Self-harm Early Risk Detection with Sentiment Analysis and Linguistic Features
  Elena Campillo Ageitos , Juan Martinez-Romo , Lourdes Araujo
• USDB at eRisk 2020: Deep Learning Models to Measure the Severity of the Signs of Depression using Reddit Posts [short paper]
  Amina Madani , Fatima Boumahdi , Anfel Boukenaoui , Mohamed Chaouki Kritli , Hamza Hentabli
• Early Risk Detection of Self-Harm and Depression Severity using BERT-based Transformers
  Rodrigo Martínez-Castaño , Amal Htait , Leif Azzopardi , Yashar Moshfeghi
• Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models
  Diego Maupome , Maxime D. Armstrong , Raouf Moncef Belbahar , Josselin Alezot , Rhon Balassiano , Marc Queudot , Sébastien Mosser , Marie-Jean Meurs
• BioInfo@UAVR at eRisk 2020: on the Use of Psycholinguistics Features and Machine Learning for the Classification and Quantification of Mental Diseases
  Alina Trifan , Pedro Salgado , José Luis Oliveira
• Deep Learning Architectures and Strategies for Early Detection of Self-harm and Depression Level Prediction
  Ana Sabina Uban , Paolo Rosso

HIPE: Identifying Historical People, Places and other Entities

• Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers
  Maud Ehrmann , Matteo Romanello , Alex Flückiger , Simon Clematide
• Robust Named Entity Recognition and Linking on Historical Multilingual Documents
  Emanuela Boros , Elvys Linhares Pontes , Luis Adrián Cabrera-Diego , Ahmed Hamdi , Jose G. Moreno , Nicolas Sidère , Antoine Doucet
• Hybrid Statistical and Attentive Deep Neural Approach for Named Entity Recognition in Historical Newspapers
  Ghaith Dekhili , Fatiha Sadat
• IRISA System for Entity Detection and Linking at CLEF HIPE 2020 [short paper]
  Cheikh Brahim El Vaigh , Guillaume Le Noé-Bienvenu , Guillaume Gravier , Pascale Sébillot
• Experiments from LIMSI at the French Named Entity Recognition Coarse-grained Task [short paper]
  Sahar Ghannay , Cyril Grouin , Thomas Lavergne
• DeLFT and Entity-fishing: Tools for CLEF HIPE 2020 Shared Task
  Tanti Kristanti , Laurent Romary
• Named Entity Disambiguation and Linking Historic Newspaper OCR with BERT
  Kai Labusch , Clemens Neudecker
• Adapting a Pre-Neural Named Entity Recognizer and Linker to Historical Data [short paper]
  Damien Nouvel , Jean-Claude Zagabe Seruti
• SinNer@Clef-Hipe2020 : Sinful adaptation of SotA models for Named Entity Recognition in French and German
  Pedro Ortiz , Yoann Dupont , Gaël Lejeune , Tian Tian
• Named Entity Recognition and Linking on Historical Newspapers: UvA.ILPS & REL at CLEF HIPE 2020 [short paper]
  Vera Provatorova , Svitlana Vakulenko , Evangelos Kanoulas , Koen Dercksen , Johannes M van Hulst
• Triple E - Effective Ensembling of Embeddings and Language Models for NER of Historical German
  Stefan Schweter , Luisa März
• Transfer Learning for Named Entity Recognition in Historical Corpora
  Konstantin Todorov , Giovanni Colavizza

ImageCLEF: Multimedia Retrieval in Medicine, Lifelogging, and Internet

• Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog
  Van-Tu Ninh , Tu-Khiem Le , Liting Zhou , Luca Piras , Michael Riegler , Pål Halvorsen , Mathias Lux , Minh-Triet Tran , Cathal Gurrin , Duc-Tien Dang-Nguyen
• Overview of the VQA-Med Task at ImageCLEF 2020: Visual Question Answering and Generation in the Medical Domain [short paper]
  Asma Ben Abacha , Vivek V. Datla , Sadid A. Hasan , Dina Demner-Fushman , Henning Müller
• Overview of the 2020 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn Website UIs
  Dimitri Fichou , Raul Berari , Paul Brie , Mihai Dogariu , Liviu Daniel Ştefan , Mihai Gabriel Constantin , Bogdan Ionescu
• Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding
  Obioma Pelka , Christoph M. Friedrich , Alba García Seco De Herrera , Henning Müller
• Overview of the ImageCLEFcoral 2020 Task: Automated Coral Reef Image Annotation
  Jon Chamberlain , Antonio Campello , Jessica Wright , Louis Clift , Adrian Clark , Alba García Seco De Herrera
• Overview of ImageCLEFtuberculosis 2020 Automatic CT-based Report Generation
  Serge Kozlovski , Vitali Liauchuk , Yashin Dicente Cid , Aleh Tarasau , Vassili Kovalev and Henning Müller
• The Inception Team at VQA-Med 2020: Pretrained VGG with Data Augmentation for Medical VQA and VQG
  Aisha Al-Sadi , Hana Al-Theiabat , Mahmoud Al-Ayyoub
• The Effects of Colour Enhancement and IoU Optimisation on Object Detection and Segmentation of Coral Reef Structures
  Marina Arendt , Johannes Rückert , Raphael Brüngel , Christopher Brumann , Christoph M. Friedrich
• ImageCLEF 2020: Image Caption Prediction using Multilabel Convolutional Neural Network [short paper]
  Sarada Devi Arul , Kavitha Srinivasan
• ImageCLEF 2020: Deep Learning for Tuberculosis in Chest CT Image Analysis based on multi-axis projections
  Tetsuya Asakawa , Masaki Aono
• Deep Learning based TB Severity Prediction [short paper]
  Ujjwel Balwal , Srinivasa Arun Yeragudipati , Bhuvana Jayaraman , Mirnalinee Thanga Nadar Thanga Thai
• Automatic Approach For Lifelog Moments Retrieval using Transfer Learning and Rule-based Matching
  Fatma Ben Abdallah , Ghada Feki , Ons Saadallah , Amine Jarraya , Chokri Ben Amar
• Enhanced Localization and Classification of Coral Reef Structures and Compositions
  Kirill Bogomasov , Philipp Grawe , Stefan Conrad
• Chejiao at ImageCLEFmed Tuberculosis 2020: CT Report Generation Based on Transfer learning
  Jiao Che , Haiyan Ding , Xiaobing Zhou
• HCP-MIC at VQA-Med 2020: Effective Visual Representation for Medical Visual Question Answering [short paper]
  Guanqi Chen , Haifan Gong , Guanbin Li
• UAIC2020: Lung Analysis for Tuberculosis Detection
  Lucia Georgiana Coca , Alexandra Hanganu , Ciprian-Gabriel Cusmuliuc , Adrian Iftene
• Essex at ImageCLEFcaption 2020 Task [short paper]
  Alba García Seco De Herrera , Francisco Parrilla Andrade , Luke Bentley , Arely Aceves Compean
• Automatic Coral Detection using Neural Networks [short paper]
  Ivan Gruber , Jakub Straka
• HTML Atomic UI Elements Extraction from Hand-Drawn Website Images using Mask-RCNN and novel Multi-Pass Inference Technique
  Prasang Gupta , Swayambodha Mohapatra
• bumjun_jung at VQA-Med 2020: VQA Model Based on Feature Extraction and Multi-modal Feature Fusion [short paper]
  Bumjun Jung , Lin Gu , Tatsuya Harada
• A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
  Marimuthu Kalimuthu , Fabrizio Nunnari , Daniel Sonntag
• AUEB NLP Group at ImageCLEFmed Caption 2020
  Basil Karatzas , John Pavlopoulos , Vasiliki Kougia , Ion Androutsopoulos
• Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data
  Tu-Khiem Le , Van-Tu Ninh , Liting Zhou , Minh-Huy Nguyen-Ngoc , Huu-Duc Trinh , Nguyen-Hien Tran , Luca Piras , Michael Riegler , Pål Halvorsen , Mathias Lux , Minh-Triet Tran , Graham Healy , Cathal Gurrin , Duc-Tien Dang-Nguyen
• SZTAKI @ ImageCLEFmed 2020 Tuberculosis Task [short paper]
  Bence Lestyan , András A. Benczúr , Bálint Daróczy
• AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering
  Zhibin Liao , Qi Wu , Chunhua Shen , Anton van den Hengel , Johan Verjans
• Shengyan at VQA-Med 2020: An Encoder-Decoder Model for Medical Domain Visual Question Answering Task
  Shengyan Liu , Haiyan Ding , Xiaobing Zhou
• ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports [short paper]
  Xing Lu , Eric Y Chang , Zhaohui Liu , Chun-nan Hsu , Jiang Du , Amilcare Gentili
• Multi-Label and Cross-Modal Based Concept Detection in Biomedical Images by MORGAN_CS at ImageCLEF2020
  Oyebisi Lyode , Md Mahmudur Rahman
• Leverage the Predictive Power Score of Lifelog Data's Attributes to Predict the Expected Athlete Performance
  Anh-Vu Mai-Nguyen , Van-Luon Tran , Minh-Son Dao , Koji Zettsu
• Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data
  Radu Miron , Cosmin Moisii , Mihaela Breaban
• Ensemble of Deep Learning Models for Automatic Tuberculosis Diagnosis Using Chest CT Scans: Contribution to the ImageCLEF-2020 Challenges
  Abdela Ahmed Mossa , Halit Eriş , Ulus Çevik
• Deep Learning for UI Element Detection: DrawnUI 2020 [short paper]
  Naveen Narayanan , Nitin Nikamanth Appiah Balaji , Kavya Jaganathan
• ImageCLEF 2020: An approach for Visual Question Answering using VGG-LSTM for Different Datasets
  Sheerin Sitara Noor Mohamed , Kavitha Srinivasan
• Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of Tricks
  Lukáš Picek , Antonín Říha , Aleš Zita
• UA.PT Bioinformatics at ImageCLEF 2020: Lifelog Moment Retrieval Web based Tool
  Ricardo Ribeiro , Júlio Silva , Alina Trifan , José Luis Oliveira , António J. R. Neves
• NLM at VQA-Med 2020: Visual Question Answering and Generation in the Medical Domain
  Mourad Sarrouti
• Techniques for Medical Concept Detection from Multi-Modal Images
  Rohit Sonker , Ayush Mishra , Palvika Bansal , Anup Pattnaik
• An Interactive Atomic-cluster Watershed-based System for Lifelog Moment Retrieval
  Van-Luon Tran , Trong-Dat Phan , Anh-Vu Mai-Nguyen , Anh-Khoa Vo , Minh-Son Dao , Koji Zettsu
• An Experiment in Interactive Retrieval for the Lifelog Moment Retrieval Task at ImageCLEFlifelog2020
  Ly-Duyen Tran , Manh-Duy Nguyen , Binh Nguyen , Cathal Gurrin
• Lifelog Moment Retrieval with Self-Attention based Joint Embedding Model
  Hoang-Phuc Trang-Trung , Hoang-Anh Le , Minh-Triet Tran
• Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020
  Nisnab Udas , Frederik Beuth , Danny Kowerko
• kdevqa at VQA-Med 2020: Focusing on GLU-based Classification [short paper]
  Hideo Umada , Masaki Aono
• HARENDRAKV at VQA-Med 2020: Sequential VQA with Attention for Medical Visual Question Answering [short paper]
  Harendra Verma , Sindhu Ramachandran
• Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning
  Muhammad Waqas , Zeshan Khan , Shaheer Anjum , Muhammad Atif Tahir
• Sketch2Code: Automatic hand-drawn UI Elements Detection with Faster-RCNN [short paper]
  Aleš Zita , Lukáš Picek , Antonín Říha

LifeCLEF: Multimedia Retrieval in Nature

• Overview of LifeCLEF Plant Identification task 2020
  Hervé Goëau , Pierre Bonnet , Alexis Joly
• Overview of the SnakeCLEF 2020: AutomaticSnake Species Identification Challenge
  Lukáš Picek , Isabelle Bolon , Andrew Durso , Rafael Ruiz de Castañeda
• Overview of BirdCLEF 2020: Bird Sound Recognition in Complex Acoustic Environments
  Stefan Kahl , Mary Clapp , W. Alexander Hopping , Hervé Goëau , Hervé Glotin , Robert Planqué , Willem-Pier Vellinga , Alexis Joly
• Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF)
  Benjamin Deneu , Titouan Lorieul , Elijah Cole , Maximilien Servajean , Christophe Botella , Pierre Bonnet , Alexis Joly
• Xception Based Method for Bird Sound Recognition of BirdCLEF 2020 [short paper]
  Jisheng Bai , Chen Chen , Jianfeng Chen
• Combination of Image and Location Information for Snake Species Identification using Object Detection and EfficientNets
  Louise Bloch , Adrian Boketta , Christopher Keibel , Eric Mense , Alex Michailutschenko , Obioma Pelka , Johannes Rückert , Leon Willemeit , Christoph M. Friedrich
• Herbarium-Field Triplet Network for Cross-domain Plant Identification. NEUON Submission to LifeCLEF 2020 Plant
  Sophia Chulif , Yang Loong Chang
• Using Triplet Loss for Bird Species Recognition on BirdCLEF 2020 [short paper]
  Thailsson Clementino , Juan Colonna
• Participation of LIRMM / Inria to the GeoLifeCLEF 2020 Challenge [short paper]
  Benjamin Deneu , Maximilien Servajean , Pierre Bonnet , François Munoz , Alexis Joly
• Impact of Pretrained Networks For Snake Species Classification [short paper]
  Moorthy Gokula Krishnan
• Plant Species Identification Using Transfer Learning - PlantCLEF 2020 [short paper]
  Nanda H Krishna , Rakesh M , Ram Kaushik R
• Bird Species Recognition via Neural Architecture Search
  Markus Mühling , Jakob Franz , Nikolaus Korfhage , Bernd Freisleben
• Domain Adaptation in the Context of Herbarium Collections: A submission to PlantCLEF 2020
  Juan Villacis , Hervé Goëau , Pierre Bonnet , Alexis Joly , Erick Mata-Montero
• Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge
  Youshan Zhang , Brian D. Davison

LiLAS: Living Labs for Academic Search

• Overview of LiLAS 2020 - Living Labs for Academic Search Workshop Lab (extended abstract)
  Philipp Schaer , Johann Schaible , Leyla Jael Garcia Castro

PAN: Stylometry and Digital Text Forensics

• Overview of the Style Change Detection Task at PAN 2020
  Eva Zangerle , Maximilian Mayerl , Günther Specht , Martin Potthast , Benno Stein
• Overview of the Celebrity Profiling Task at PAN 2020
  Matti Wiegmann , Benno Stein , Martin Potthast
• Overview of the Cross-Domain Authorship Verification Task at PAN 2020
  Mike Kestemont , Enrique Manjavacas , Ilia Markov , Janek Bevendorff , Matti Wiegmann , Efstathios Stamatatos , Martin Potthast , Benno Stein
• Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter
  Francisco Rangel , Anastasia Giachanou ,   Bilal Ghanem , Paolo Rosso
• KU-CST at the Profiling Fake News spreaders Shared Task [short paper]
  Manex Agirrezabal
• A Deep Learning Model to Predict Gender, Age and Occupation of the Celebrities based on Tweets Followers [short paper]
  Roobaea Alroobaea , Ahmed H. Almulihi , Fahd S. Alharithi , Seifeddine Mechti , Moez Krichen , Lamia Hadrich Belguith
• Siamese Network applied to Authorship Verification [short paper]
  Emir Araujo-Pino , Helena Gomez-Adorno , Gibran Fuentes-Pineda
• LSACoNet: A Combination of Lexical and Conceptual Features for Analysis of Fake News Spreaders on Twitter
  Hamed Babaei Giglou , Jafar Razmara , Mostafa Rahgouy , Mahsa Sanaei
• Fake News Spreader Detection using Neural Tweet Aggregation [short paper]
  Oleg Bakhteev , Aleksandr Ogaltsov , Petr Ostroukhov
• Automatic Detection of Fake News Spreaders Using BERT [short paper]
  Arup Baruah , Kaushik Das , Ferdous Barbhuiya , Kuntal Dey
• Deep Bayes Factor Scoring for Authorship Verification
  Benedikt Boenninghoff , Julian Rupp , Robert M. Nickel , Dorothea Kolossa
• An Ensemble Model Using N-grams and Statistical Features to Identify Fake News Spreaders on Twitter
  Jakab Buda , Flora Bolonyai
• Fake News Spreaders Profiling Through Behavioural Analysis [short paper]
  Matteo Cardaioli , Stefano Cecconello , Mauro Conti , Luca Pajola , Federico Turrin
• Mixed Style Feature Representation and B-maximal Clustering for Style Change Detection [short paper]
  Daniel Castro-Castro , Carlos Alberto Rodríguez-Lozada , Rafael Muñoz
• Ensemble of ELECTRA for Profiling Fake News Spreaders [short paper]
  Kaushik Amar Das , Arup Baruah , Ferdous Ahmed Barbhuiya , Kuntal Dey
• RMIT at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter [short paper]
  Xinhuan Duan , Elham Naghizade , Damiano Spina , Xiuzhen Zhang
• Analyzing User Profiles for Detection of Fake News Spreaders on Twitter
  María S. Espinosa , Roberto Centeno , Álvaro Rodrigo
• Profiling Fake News Spreaders using Character and Words N-grams [short paper]
  Daniel Espinosa , Helena Gómez-Adorno , Grigori Sidorov
• Profiling Fake News Spreaders: Stylometry, Personality, Emotions and Embeddings [short paper]
  Elisabetta Fersini , Justin Armanini , Michael D'Intorni
• Authorship Verification with Prediction by Partial Matching and Context-free Grammar [short paper]
  Lukasz Gagala
• Cross-Domain Authorship Verification Based on Topic Agnostic Features
  Oren Halvani , Lukas Graner , Roey Regev
• Fake News Spreader Identification in Twitter using Ensemble Modeling. Notebook for PAN at CLEF 2020 [short paper]
  Ahmad Hashemi , Mohammad Reza Zarei , Mohammad Reza Moosavi , Mohammad Taheri
• A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter
  Clemens Hörtenhuemer , Eva Zangerle
• UniNE at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter [short paper]
  Catherine Ikae , Jacques Savoy
• UniNE at PAN-CLEF 2020: Author Verification [short paper]
  Catherine Ikae
• Style Change Detection Using BERT [short paper]
  Aarish Iyer , Soroush Vosoughi
• Higher Criticism as an Unsupervised Authorship Discriminator [extended abstract]
  Alon Kipnis
• Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization
  Boshko Koloski , Senja Pollak , Blaž Škrlj
• Know your Neighbors: Efficient Author Profiling via Follower Tweets [short paper]
  Boshko Koloski , Senja Pollak , Blaž Škrlj
• Fusing Stylistic Features with Deep-learning Methods for Profiling Fake News Spreader
  Roberto Labadie , Daniel Castro Castro , Reynier Ortega Bueno
• Profiling Fake News Spreaders on Twitter based on TFIDF Features and Morphological Process. Notebook for PAN at CLEF 2020 [short paper]
  Mohamed Lichouri , Mourad Abbas , Besma Benaziz
• Profiling Fake News Spreaders on Twitter
  Álvaro López , Pasqual Martí
• Approaches to the Profiling Fake News Spreaders on Twitter Task in English and Spanish [short paper]
  Jacobo López Fernández , Juan Antonio López Ramírez
• Detecting Fake News Spreaders on Twitter Using Universal Sentence Encoder [short paper]
  Soumayan Bandhu Majumder , Dipankar Das
• Profiling Fake News spreaders through Stylometry and Lexical Features. UniOR NLP @PAN2020 [short paper]
  Raffaele Manna , Antonio Pascucci , Johanna Monti
• Assembly of Polarity, Emotion and User Statistics for Detection of Fake Profiles [short paper]
  Luis Gabriel Moreno Sandoval , Edwin Puertas , Alexandra Pomares Quimbaya , Jorge Andres Alvarado Valencia
• Detecting Fake News Spreaders with Behavioural, Lexical and Psycholinguistic Features
  Héctor Ricardo Murrieta Bello , Lukas Heilmann , Esben Ronan
• Profiling Spreaders of Disinformation on Twitter: IKMLab and Softbank Submission [short paper]
  Timothy Niven , Hung-Yu Kao , Hsin-Yang Wang
• Will Longformers PAN Out for Authorship Verification? Notebook for PAN at CLEF 2020
  Juanita Ordoñez , Rafael Rivera Soto , Barry Chen
• Identifying Fake News Spreaders in Social Media [short paper]
  Nikhil Pinnaparaju , Vijayasaradhi Indurthi , Vasudeva Varma
• Using N-grams to detect Fake News Spreaders on Twitter [short paper]
  Juan Pizarro
• Celebrity Profiling using Twitter Follower Feeds: Notebook for PAN at CLEF 2020
  Samantha Price , Abigail Hodge
• Sadness and Fear: Classification of Fake NewsSpreaders Content on Twitter [short paper]
  Irene Russo
• Profiling Fake News Spreaders on Twitter [short paper]
  Usman Saeed , Hammad Fahim , Farid Shirazi
• ULMFiT for Twitter Fake News Spreader Profiling [short paper]
  H L Shashirekha , Fazlourrahman Balouchzahi
• Ensemble Model for Profiling Fake News Spreaders on Twitter [short paper]
  H L Shashirekha , M D Anusha , Nitin S Prakash
• Detecting Fake News Spreaders in Social Networks via Linguistic and Personality Features
  Anu Shrestha , Francesca Spezzano , Abishai Joy
• Fake News Spreader Detection on Twitter using Character N-Grams
  Inna Vogel , Meghana Meghana
• Feature Vector Difference based Neural Network and Logistic Regression Models for Authorship Verification [short paper]
  Janith Weerasinghe , Rachel Greenstadt
• A BERT based Two-stage Fake News Spreader Profiling System [short paper]
  Shih-Hung Wu , Sheng-Lun Chien

Touché: Argument Retrieval

• Overview of Touché 2020: Argument Retrieval
  Alexander Bondarenko , Maik Fröbe , Meriem Beloucif , Lukas Gienapp , Yamen Ajjour , Alexander Panchenko , Chris Biemann , Benno Stein , Henning Wachsmuth , Martin Potthast , Matthias Hagen
• An Open-Domain Web Search Engine for Answering Comparative Questions
  Tinsaye Abye , Tilmann Sager , Anna Juliane Triebel
• Exploring Argument Retrieval with Transformers
  Christopher Akiki , Martin Potthast
• Creating an Argument Search Engine for Online Debates
  Maximilian Bundesmann , Lukas Christ , Matthias Richter
• Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU
  Viktoriia Chekalina , Alexander Panchenko
• Ranking Arguments by Combining Claim Similarity and Argument Quality Dimensions [short paper]
  Lorik Dumani , Ralf Schenkel
• Argument Retrieval Using Deep Neural Ranking Models
  Saeed Entezari , Michael Völske
• Development of a Search Engine to Answer Comparative Queries [short paper]
  Johannes Huck
• University of Amsterdam at CLEF 2020
  Mahsa S. Shahshahani , Jaap Kamps
• Question Answering for Comparative Questions with GPT-2
  Bjarne Sievers
• SentArg: A Hybrid Doc2Vec/DPH Model with Sentiment Analysis Refinement [short paper]
  Christian Staudte , Lucas Lange