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