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Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to - 24th, 2021

Guglielmo Faggioli, Nicola Ferro, Alexis Joly, Maria Maistro, Florina Piroi (Editors)


Anthology ID:
2021.clef_conference-2021w
Year:
2021
Venue:
clef_conference
Publisher:
CEUR-WS.org
URL:
http://ceur-ws.org/Vol-2936
DBLP:
conf/clef/2021w
BibTeX:
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Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to - 24th, 2021

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Overview of ARQMath-2 (2021): Second CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version)
Behrooz Mansouri | Richard Zanibbi | Douglas W. Oard | Anurag Agarwal

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XY-PHOC Symbol Location Embeddings for Math Formula Retrieval and Autocompletion
Robin Avenoso | Behrooz Mansouri | Richard Zanibbi

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BERT-Based Embedding Model for Formula Retrieval
Pankaj Dadure | Partha Pakray | Sivaji Bandyopadhyay

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DPRL Systems in the CLEF 2021 ARQMath Lab: Sentence-BERT for Answer Retrieval, Learning-to-Rank for Formula Retrieval
Behrooz Mansouri | Douglas W. Oard | Richard Zanibbi

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Dowsing for Answers to Math Questions: Ongoing Viability of Traditional MathIR
Yin Ki Ng | Dallas J. Fraser | Besat Kassaie | Frank Wm. Tompa

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Ensembling Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021
Vít Novotný | Michal Stefánik | Dávid Lupták | Martin Geletka | Petr Zelina | Petr Sojka

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TU_DBS in the ARQMath Lab 2021, CLEF
Anja Reusch | Maik Thiele | Wolfgang Lehner

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Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath Lab
Shaurya Rohatgi | Jian Wu | C. Lee Giles

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Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens
Wei Zhong | Xinyu Zhang | Ji Xin | Richard Zanibbi | Jimmy Lin

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Overview of BioASQ Tasks 9a, 9b and Synergy in CLEF2021
Anastasios Nentidis | Georgios Katsimpras | Eirini Vandorou | Anastasia Krithara | Georgios Paliouras

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Overview of BioASQ 2021-MESINESP track. Evaluation of advance hierarchical classification techniques for scientific literature, patents and clinical trials
Luis Gascó | Anastasios Nentidis | Anastasia Krithara | Darryl Estrada-Zavala | Renato Toshiyuki Murasaki | Elena Primo-Peña | Cristina Bojo-Canales | Georgios Paliouras | Martin Krallinger

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BioASQ Synergy: A strong and simple baseline rooted in relevance feedback
Tiago Almeida | Sérgio Matos

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Universal Passage Weighting Mecanism (UPWM) in BioASQ 9b
Tiago Almeida | Sérgio Matos

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Large Biomedical Question Answering Models with ALBERT and ELECTRA
Sultan Alrowili | Vijay Shanker

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Vicomtech at MESINESP2: BERT-based Multi-label Classification Models for Biomedical Text Indexing
Aitor García Pablos | Naiara Pérez | Montse Cuadros

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MDS_UNCC Question Answering System for Biomedical Data with Preliminary Error Analysis
Seethalakshmi Gopalakrishnan | Swathi Padithala | Hilmi Demirhan | Wlodek Zadrozny

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PIDNA at BioASQ MESINESP: Hybrid Semantic Indexing for Biomedical Articles in Spanish
Yi Huang | Buse Giledereli | Abdullatif Köksal | Arzucan Özgür | Elif Ozkirimli

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Transformer-based Language Models for Factoid Question Answering at BioASQ9b
Urvashi Khanna | Diego Mollá

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Post-processing BioBERT And Using Voting Methods for Biomedical Question Answering
Margarida M. Campos | Francisco M. Couto

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Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
Diego Mollá | Urvashi Khanna | Dima Galat | Vincent Nguyen | Maciej Rybinski

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End-to-end Biomedical Question Answering via Bio-AnswerFinder and Discriminative Language Representation Models
Ibrahim Burak Özyurt

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A Neural Text Ranking Approach for Automatic MeSH Indexing
Alastair R. Rae | James G. Mork | Dina Demner-Fushman

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COLE and LYS at BioASQ MESINESP Task: large scale multilabel text categorization with sparse and dense indices
Francisco J. Ribadas-Pena | Shuyuan Cao | Elmurod Kuriyozov

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LASIGE-BioTM at MESINESP2: entity linking with semantic similarity and extreme multi-label classification on Spanish biomedical documents
Pedro Ruas | Vitor D. T. Andrade | Francisco M. Couto

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NLM at BioASQ Synergy 2021: Deep Learning-based Methods for Biomedical Semantic Question Answering about COVID-19
Mourad Sarrouti | Deepak Gupta | Asma Ben Abacha | Dina Demner-Fushman

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KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering
Wonjin Yoon | Jaehyo Yoo | Sumin Seo | Mujeen Sung | Minbyul Jeong | Gangwoo Kim | Jaewoo Kang

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NCU-IISR/AS-GIS: Results of Various Pre-trained Biomedical Language Models and Linear Regression Model in BioASQ Task 9b Phase B
Yu Zhang | Jen-Chieh Han | Richard Tzong-Han Tsai

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Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates
Shaden Shaar | Maram Hasanain | Bayan Hamdan | Zien Sheikh Ali | Fatima Haouari | Alex Nikolov | Mücahid Kutlu | Yavuz Selim Kartal | Firoj Alam | Giovanni Da San Martino | Alberto Barrón-Cedeño | Rubén Míguez | Javier Beltrán | Tamer Elsayed | Preslav Nakov

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Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates
Shaden Shaar | Fatima Haouari | Watheq Mansour | Maram Hasanain | Nikolay Babulkov | Firoj Alam | Giovanni Da San Martino | Tamer Elsayed | Preslav Nakov

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Overview of the CLEF-2021 CheckThat! Lab: Task 3 on Fake News Detection
Gautam Kishore Shahi | Julia Maria Struß | Thomas Mandl

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QMUL-SDS at CheckThat! 2021: Enriching Pre-Trained Language Models for the Estimation of Check-Worthiness of Arabic Tweets
Amani S. Abumansour | Arkaitz Zubiaga

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SCUoL at CheckThat! 2021: An AraBERT Model for Check-Worthiness of Arabic Tweets
Saud Althabiti | Mohammad Ammar Alsalka | Eric Atwell

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M82B at CheckThat! 2021: Multiclass Fake News Detection Using BiLSTM
Sohel Siddique Ashik | Abdur Rahman Apu | Nusrat Jahan Marjana | Md. Sanzidul Islam | Md. Arid Hassan

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CIC at CheckThat! 2021: Fake News detection Using Machine Learning And Data Augmentation
Noman Ashraf | Sabur Butt | Grigori Sidorov | Alexander F. Gelbukh

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MUCIC at CheckThat! 2021: FaDo-Fake News Detection and Domain Identification using Transformers Ensembling
Fazlourrahman Balouchzahi | Hosahalli Lakshmaiah Shashirekha | Grigori Sidorov

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UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims
Ipek Baris Schlicht | Angel Felipe Magnossão de Paula | Paolo Rosso

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SU-NLP at CheckThat! 2021: Check-Worthiness of Turkish Tweets
Buse Carik | Reyyan Yeniterzi

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Aschern at CLEF CheckThat! 2021: Lambda-Calculus of Fact-Checked Claims
Anton Chernyavskiy | Dmitry Ilvovsky | Preslav Nakov

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UAICS at CheckThat! 2021: Fake news detection
Ciprian-Gabriel Cusmuliuc | Matei Alexandru Amarandei | Ioana Pelin | Vlad-Iulian Cociorva | Adrian Iftene

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University of Regensburg at CheckThat! 2021: Exploring Text Summarization for Fake News Detection
Philipp Hartl | Udo Kruschwitz

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CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification
Álvaro Huertas-García | Javier Huertas-Tato | Alejandro Martín | David Camacho

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Classifier for fake news detection and Topical Domain of News Articles
William Kana Tsoplefack

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Nkovachevich at CheckThat! 2021: BERT fine-tuning approach to fake news detection
Ninko Kovachevich

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NLP&IR@UNED at CheckThat! 2021: Check-worthiness estimation and fake news detection using transformer models
Juan R. Martinez-Rico | Juan Martínez-Romo | Lourdes Araujo

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DIPS at CheckThat! 2021: Verified Claim Retrieval
Simona Mihaylova | Iva Borisova | Dzhovani Chemishanov | Preslav Hadzhitsanev | Momchil Hardalov | Preslav Nakov

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NLytics at CheckThat! 2021: Multi-class fake news detection of news articles and domain identification with RoBERTa - a baseline model
Albert Pritzkau

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NLytics at CheckThat! 2021: Detecting Previously Fact-Checked Claims by Measuring Semantic Similarity
Albert Pritzkau

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NLytics at CheckThat! 2021: Check-Worthiness Estimation as a Regression Problem on Transformers
Albert Pritzkau

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NITK_NLP at CheckThat! 2021: Ensemble Transformer Model for Fake News Classification
Hariharan RamakrishnaIyer LekshmiAmmal | Anand Kumar Madasamy

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Team Sigmoid at CheckThat!2021 Task 3a: Multiclass fake news detection with Machine Learning
Abdullah Al Mamun Sardar | Shahalu Akter Salma | Md. Sanzidul Islam | Md. Arid Hasan | Touhid Bhuiyan

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Qword at CheckThat! 2021: An Extreme Gradient Boosting Approach for Multiclass Fake News Detection
Rudra Sarker Utsha | Mumenunnessa Keya | Md. Arid Hasan | Md. Sanzidul Islam

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GPLSI team at CheckThat! 2021: Fine-tuning BETO and RoBERTa
Robiert Sepúlveda-Torres | Estela Saquete

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BeaSku at CheckThat! 2021: Fine-Tuning Sentence BERT with Triplet Loss and Limited Data
Beata Skuczynska | Shaden Shaar | Jennifer Spenader | Preslav Nakov

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BlackOps at CheckThat! 2021: User Profiles Analyze of Intelligent Detection on Fake Tweets Notebook for PAN
S. M. Sohan | Sharun Akter Khushbu | Md. Sanzidul Islam | Md. Arid Hasan

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Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation
Evan M. Williams | Paul Rodrigues | Sieu Tran

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TOBB ETU at CheckThat! 2021: Data Engineering for Detecting Check-Worthy Claims
Muhammed Said Zengin | Yavuz Selim Kartal | Mücahid Kutlu

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Fight for 4230 at CheckThat! 2021: Domain-Specific Preprocessing and Pretrained Model for Ranking Claims by Check-Worthiness
Xinrui Zhou | Bohuai Wu | Pascale Fung

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Extended Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents
Yuan Li | Biaoyan Fang | Jiayuan He | Hiyori Yoshikawa | Saber A. Akhondi | Christian Druckenbrodt | Camilo Thorne | Zubair Afzal | Zenan Zhai | Timothy Baldwin | Karin Verspoor

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A pipelined approach to Anaphora Resolution in Chemical Patents
Ritam Dutt | Sopan Khosla | Carolyn P. Rosé

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HUKB at ChEMU 2021 Task 2: Anaphora Resolution
Kojiro Machi | Masaharu Yoshioka

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Overview of CLEF eHealth Task 1 - SpRadIE: A challenge on information extraction from Spanish Radiology Reports
Viviana Cotik | Laura Alonso Alemany | Darío Filippo | Franco Luque | Roland Roller | Jorge Vivaldi | Ammer Ayach | Fernando Carranza | Lucas Defrancesca | Antonella Dellanzo | Macarena Fernández Urquiza

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Consumer Health Search at CLEF eHealth 2021
Lorraine Goeuriot | Hanna Suominen | Gabriella Pasi | Elias Bassani | Nicola Brew-Sam | Gabriela Nicole González Sáez | Liadh Kelly | Philippe Mulhem | Sandaru Seneviratne | Rishabh Upadhyay | Marco Viviani | Chenchen Xu

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IMS-UNIPD @ CLEF eHealth Task 1: A Memory Based Reproducible Baseline
Giorgio Maria Di Nunzio

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IMS-UNIPD @ CLEF eHealth Task 2: Reciprocal Ranking Fusion in CHS
Giorgio Maria Di Nunzio | Federica Vezzani

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LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts
Hermenegildo Fabregat | Andrés Duque | Lourdes Araujo | Juan Martínez-Romo

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Pre-trained language models to extract information from radiological reports
Pilar López-Úbeda | Manuel Carlos Díaz-Galiano | Luis Alfonso Ureña López | María Teresa Martín-Valdivia

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Extracting information from radiology reports by Natural Language Processing and Deep Learning
Miguel Ángel Martín-Caro García-Largo | Isabel Segura-Bedmar

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Comparing Transformer-based NER approaches for analysing textual medical diagnoses
Marco Polignano | Marco de Gemmis | Giovanni Semeraro

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Information Extraction from Spanish Radiology Reports using multilingual BERT
Oswaldo Solarte Pabón | Orlando Montenegro | Alberto Blázquez-Herranz | Hadi Saputro | Alejandro Rodríguez González | Ernestina Menasalvas

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A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports
Víctor Suárez-Paniagua | Hang Dong | Arlene Casey

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Learning to rank for Consumer Health Search
Hua Yang | Xiaoming Liu | Binbin Zheng | Guan Yang

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Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview)
Javier Parapar | Patricia Martín-Rodilla | David E. Losada | Fabio Crestani

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Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier
Hassan Alhuzali | Tianlin Zhang | Sophia Ananiadou

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VADER meets BERT: sentiment analysis for early detection of signs of self-harm through social mining
Lucas Barros | Alina Trifan | José Luís Oliveira

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UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet
Angelo Basile | Mara Chinea-Rios | Ana Sabina Uban | Thomas Müller | Luise Rössler | Seren Yenikent | Berta Chulvi | Paolo Rosso | Marc Franco-Salvador

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Exploring the Performance of Baseline Text Mining Frameworks for Early Prediction of Self Harm Over Social Media
Tanmay Basu | Georgios V. Gkoutos

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Early Risk Detection of Pathological Gambling, Self-Harm and Depression Using BERT
Ana-Maria Bucur | Adrian Cosma | Liviu P. Dinu

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NLP-UNED at eRisk 2021: self-harm early risk detection with TF-IDF and linguistic features
Elena Campillo Ageitos | Hermenegildo Fabregat | Lourdes Araujo | Juan Martínez-Romo

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uOttawa at eRisk 2021: Automatic Filling of the Beck's Depression Inventory Questionnaire using Deep Learning
Diana Inkpen | Ruba Skaik | Prasadith Buddhitha | Dimo Angelov | Maxwell Thomas Fredenburgh

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CeDRI at eRisk 2021: A Naive Approach to Early Detection of Psychological Disorders in Social Media
Rui Pedro Lopes

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UNSL at eRisk 2021: A Comparison of Three Early Alert Policies for Early Risk Detection
Juan Martín Loyola | Sergio Burdisso | Horacio Thompson | Leticia C. Cagnina | Marcelo Errecalde

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UniOR NLP at eRisk 2021: Assessing the Severity of Depression with Part of Speech and Syntactic Features
Raffaele Manna | Johanna Monti

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Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks
Diego Maupomé | Maxime D. Armstrong | Fanny Rancourt | Thomas Soulas | Marie-Jean Meurs

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Transfer Learning for Automated Responses to the BDI Questionnaire
Christoforos Spartalis | George Drosatos | Avi Arampatzis

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Towards transfer learning using BERT for early detection of self-harm of social media users
Qamar Un Nisa | Rafi Muhammad

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A RoBERTa-based model on measuring the severity of the signs of depression
Shih-Hung Wu | Zhao-Jun Qiu

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Overview of the VQA-Med Task at ImageCLEF 2021: Visual Question Answering and Generation in the Medical Domain
Asma Ben Abacha | Mourad Sarrouti | Dina Demner-Fushman | Sadid A. Hasan | Henning Müller

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Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification
Serge Kozlovski | Vitali Liauchuk | Yashin Dicente Cid | Vassili Kovalev | Henning Müller

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Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task
Obioma Pelka | Asma Ben Abacha | Alba Garcia Seco de Herrera | Janadhip Jacutprakart | Christoph M. Friedrich | Henning Müller

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Overview of ImageCLEFcoral 2021: Coral Reef Image Annotation of a 3D Environment
Jon Chamberlain | Alba García Seco de Herrera | Antonio Campello | Adrian Clark | Thomas Oliver | Hassan Moustahfid

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Overview of the 2021 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn and Digital Website UIs
Raul Berari | Andrei Tauteanu | Dimitri Fichou | Paul Brie | Mihai Dogariu | Liviu-Daniel Stefan | Mihai Gabriel Constantin | Bogdan Ionescu

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Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks
Emad Aghajanzadeh | Behzad Shomali | Diba Aminshahidi | Navid Ghassemi

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Simple Neural Network based TB Classification
Anirudh Anand | Karthik Raja Anandan | Bhuvana Jayaraman | Mirnalinee Thanga Nadar Thanga Thai

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ImageCLEF 2021: Deep categorizing tuberculosis cases using normalization and pseudo-color CT image
Tetsuya Asakawa | Riku Tsuneda | Kazuki Shimizu | Takuyuki Komoda | Masaki Aono

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Attention-based CNN-GRU Model For Automatic Medical Images Captioning: ImageCLEF 2021
Djamila Romaissa Beddiar | Mourad Oussalah | Tapio Seppänen

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PUC Chile team at Caption Prediction: ResNet visual encoding and caption classification with Parametric ReLU
Vicente Castro | Pablo Pino | Denis Parra | Hans Lobel

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AUEB NLP Group at ImageCLEFmed Caption Tasks 2021
Foivos Charalampakos | Vasilis Karatzas | Vasiliki Kougia | John Pavlopoulos | Ion Androutsopoulos

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Chabbiimen at VQA-Med 2021: Visual Generation of Relevant Natural Language Questions from Radiology Images for Anomaly Detection
Imen Chebbi

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TeamS at VQA-Med 2021: BBN-Orchestra for Long-tailed Medical Visual Question Answering
Sedigheh Eslami | Gerard de Melo | Christoph Meinel

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SYSU-HCP at VQA-Med 2021: A Data-centric Model with Efficient Training Methodology for Medical Visual Question Answering
Haifan Gong | Ricong Huang | Guanqi Chen | Guanbin Li

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A Convolutional Neural Networks based Coral Reef Annotation and Localization
Rohit Gunti | Abebe Rorissa

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UI element detection from wireframe drawings of websites
Prasang Gupta | Vishakha Bansal

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UAIC2021: Lung Analysis for Tuberculosis Classification
Alexandra Hanganu | Cristian Simionescu | Lucia Georgiana Coca | Adrian Iftene

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NLIP-Essex-ITESM at ImageCLEFcaption 2021 task : Deep Learning-based Information Retrieval and Multi-label Classification towards improving Medical Image Understanding
Janadhip Jacutprakart | Francisco Parrilla Andrade | Rodolfo Cuan | Arely Aceves Compean | Giorgos Papanastasiou | Alba Garcia Seco de Herrera

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Lijie at ImageCLEFmed VQA-Med 2021: Attention Model-based Efficient Interaction between Multimodality
Jie Li | Shengyan Liu

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Lijie at ImageCLEFmed Tuberculosis 2021: EfficientNet Simplified Tuberculosis Case Classification
Jie Li | Li Yang | Yang Bai

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TAM at VQA-Med 2021: A Hybrid Model with Feature Extraction and Fusion for Medical Visual Question Answering
Yong Li | Zhenguo Yang | Tianyong Hao

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Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet
Xing Lu | Eric Y. Chang | Chun-Nan Hsu | Jiang Du | Amilcare Gentili

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Identifying tuberculosis type in CTs
Cosmin Moisii | Radu Miron | Mihaela Breaban

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AEHRC CSIRO at ImageCLEFmed Caption 2021
Aaron Nicolson | Jason Dowling | Bevan Koopman

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SSN MLRG at VQA-MED 2021: An Approach for VQA to Solve Abnormality Related Queries using Improved Datasets
Noor Mohamed Sheerin Sitara | Kavitha Srinivasan

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PUC Chile team at TBT Task: Diagnosis of Tuberculosis Type using segmented CT scans
José Miguel Quintana | Daniel Florea | Ria Deane | Denis Parra | Pablo Pino | Pablo Messina | Hans Löbel

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PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN
Ricardo Schilling | Pablo Messina | Denis Parra | Hans Löbel

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PUC Chile team at Concept Detection: K Nearest Neighbors with Perceptual Similarity
Gregory Schuit | Vicente Castro | Pablo Pino | Denis Parra | Hans Lobel

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Automatic Coral Reef Annotation, Localization and Pixel-wise Parsing Using Mask R-CNN
Lukás Soukup

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Kdelab at ImageCLEF 2021: Medical Caption Prediction with Effective Data Pre-processing and Deep Learning
Riku Tsuneda | Tetsuya Asakawa | Masaki Aono

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Improving web user interface element detection using Faster R-CNN
Jirí Vyskocil | Lukás Picek

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ImageSem Group at ImageCLEFmed Caption 2021 Task: Exploring the Clinical Significance of the Textual Descriptions Derived from Medical Images
Xuwen Wang | Zhen Guo | Chunyuan Xu | Lianglong Sun | Jiao Li

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Pixelwise annotation of coral reef substrates
Jessica P. Wright | Ioana-Lia Palosanu | Louis G. Clift | Alba García Seco de Herrera | Jon Chamberlain

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Yunnan University at VQA-Med 2021: Pretrained BioBERT for Medical Domain Visual Question Answering
Qian Xiao | Xiaobing Zhou | Ya Xiao | Kun Zhao

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ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans
Hasib Zunair | Aimon Rahman | Nabeel Mohammed

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Overview of PlantCLEF 2021: cross-domain plant identification
Hervé Goëau | Pierre Bonnet | Alexis Joly

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Overview of BirdCLEF 2021: Bird call identification in soundscape recordings
Stefan Kahl | Tom Denton | Holger Klinck | Hervé Glotin | Hervé Goëau | Willem-Pier Vellinga | Robert Planqué | Alexis Joly

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Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images
Titouan Lorieul | Elijah Cole | Benjamin Deneu | Maximilien Servajean | Pierre Bonnet | Alexis Joly

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Overview of SnakeCLEF 2021: Automatic Snake Species Identification with Country-Level Focus
Lukás Picek | Andrew Durso | Isabelle Bolon | Rafael Luis Ruiz De Castaneda

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EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information
Louise Bloch | Christoph M. Friedrich

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Incorporation of object detection models and location data into snake species classification
Rego Borsodi | Dávid Papp

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A Deep Learning Method for Visual Recognition of Snake Species
Rail Chamidullin | Milan Sulc | Jiri Matas | Lukás Picek

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Improved Herbarium-Field Triplet Network for Cross-Domain Plant Identification: NEUON Submission to LifeCLEF 2021 Plant
Sophia Chulif | Yang Loong Chang

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UAIC-AI at SnakeCLEF 2021: Impact of convolutions in snake species recognition
Lucia Georgiana Coca | Alexia Theodora Popa | Razvan Contantin Croitoru | Luciana Paraschiva Bejan | Adrian Iftene

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Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution
Marcos V. Conde | Kumar Shubham | Prateek Agnihotri | Nitin D. Movva | Szilard Bessenyei

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Bird-Species Audio Identification, Ensembling 1D + 2D Signals
Gyanendra Das | Saksham Aggarwal

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Snake Species Classification using Transfer Learning Technique
Karthik Desingu | Mirunalini Palaniappan | Jitesh Kumar

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Recognizing bird species in diverse soundscapes under weak supervision
Christof Henkel | Pascal Pfeiffer | Philipp Singer

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Automatic Snake Classification using Deep Learning Algorithm
Lekshmi Kalinathan | Prabavathy Balasundaram | Pradeep Ganesh | Sandeep Sekhar Bathala | Rahul Kumar Mukesh

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Birdcall Identification Using CNN and Gradient Boosting Decision Trees with Weak and Noisy Supervision
Naoki Murakami | Hajime Tanaka | Masataka Nishimori

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STFT Transformers for Bird Song Recognition
Jean-Francois Puget

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TUC Media Computing at BIRDCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNets
Arunodhayan Sampath Kumar | Danny Kowerko

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Learning to Monitor Birdcalls From Weakly-Labeled Focused Recordings
Jan Schlüter

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Contrastive Representation Learning for Natural World Imagery: Habitat prediction for 30, 000 species
Sachith Seneviratne

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BirdCLEF 2021: building a birdcall segmentation model based on weak labels
Maxim Shugaev | Naoya Tanahashi | Philip Dhingra | Urvish Patel

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Weighted Pseudo Labeling Refinement for Plant Identification
Youshan Zhang | Brian D. Davison

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Overview of LiLAS 2021 - Living Labs for Academic Search (Extended Overview)
Philipp Schaer | Timo Breuer | Leyla Jael Castro | Benjamin Wolff | Johann Schaible | Narges Tavakolpoursaleh

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TEKMA at CLEF-2021: BM-25 based rankings for scientific publication retrieval and data set recommendation
Jüri Keller | Leon Paul Mondrian Munz

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PyTerrier-based Research Data Recommendations for Scientific Articles in the Social Sciences
Narges Tavakolpoursaleh | Johann Schaible

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Ad-hoc Retrieval of scientific Documents on the LIVIVO Search Portal
Anh Huy Matthias Tran | Andreas Kruff | Joshua Thos | Constantin Krah | Michelle Reiners | Fabian Ax | Saskia Brech | Sascha Gharib | Verena Pawlas

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Overview of the Cross-Domain Authorship Verification Task at PAN 2021
Mike Kestemont | Enrique Manjavacas | Ilia Markov | Janek Bevendorff | Matti Wiegmann | Efstathios Stamatatos | Benno Stein | Martin Potthast

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Overview of the Style Change Detection Task at PAN 2021
Eva Zangerle | Maximilian Mayerl | Martin Potthast | Benno Stein

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Profiling Hate Speech Spreaders on Twitter Task at PAN 2021
Francisco Rangel | Gretel Liz De la Peña Sarracén | Berta Chulvi | Elisabetta Fersini | Paolo Rosso

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Profiling Hate Spreaders using word N-grams
Jorge Alcañiz | José Andrés

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Profiling Hate Speech Spreaders by Classifying Micro Texts Using BERT Model
Esam Alzahrani | Leon Jololian

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Profiling Hate Speech Spreaders on Twitter
Àngel Andújar Carracedo | Raquel Jiménez Mondéjar

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Identify Hate Speech Spreaders on Twitter using Transformer Embeddings Features and AutoML Classifiers
Talha Anwar

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Profiling Haters on Twitter using Statistical and Contextualized Embeddings
Hamed Babaei Giglou | Taher Rahgooy | Jafar Razmara | Mostafa Rahgouy | Zahra Rahgooy

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Profiling Spreaders of Hate Speech with N-grams and RoBERTa
Christopher Bagdon

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HSSD: Hate Speech Spreader Detection using N-grams and Voting Classifier
Fazlourrahman Balouchzahi | Shashirekha Hosahalli Lakshmaiah | Grigori Sidorov

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Unified and Multilingual Author Profiling for Detecting Haters
Ipek Baris Schlicht | Angel Felipe Magnossão de Paula

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O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification
Benedikt T. Bönninghoff | Robert M. Nickel | Dorothea Kolossa

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INFOTEC-LaBD at PAN@CLEF21: Profiling Hate Speech Spreaders on Twitter through Emotion-based Representations
Hiram Cabrera | Sabino Miranda-Jiménez | Eric Sadit Tellez

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Exploiting Contextualized Word Representations to Profile Haters on Twitter
Tanise Ceron | Camilla Casula

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Use of Lexical and Psycho-Emotional Information to Detect Hate Speech Spreaders on Twitter - Notebook for PAN at CLEF 2021
Riccardo Cervero

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Profiling Hate Speech Spreaders on Twitter
Kumar Gourav Das | Buddhadeb Garai | Srijan Das | Braja Gopal Patra

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Style Change Detection on Real-World Data using an LSTM-powered Attribution Algorithm
Robert Deibel | Denise Löfflad

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Detection of Hate Speech Spreaders with BERT
David Dukic | Ana Sovic Krzic

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Graph-based Siamese Network for Authorship Verification
Daniel Embarcadero-Ruiz | Helena Gómez-Adorno | Ivan Reyes-Hernández | Alexis García | Alberto Embarcadero-Ruiz

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Profiling Hate Speech Spreaders using Characters andWords N-grams
Daniel Yacob Espinosa | Grigori Sidorov

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Hate speech spreader detection using contextualized word embeddings
Evgeny Finogeev | Mariam Kaprielova | Artem Chashchin | Kirill Grashchenkov | George Gorbachev | Oleg Bakhteev

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Author classification as pre-training for pairwise authorship verification
Romain Futrzynski

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Profiling Hate Speech Spreaders on Twitter using stylistic features and word embeddings
Lucía Gómez-Zaragozá | Sara Hinojosa Pinto

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Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling
Álvaro Huertas-García | Javier Huertas-Tato | Alejandro Martín | David Camacho

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Effective Detection of Hate Speech Spreaders on Twitter
Julian Höllig | Yeong Su Lee | Nina Seemann | Michaela Geierhos

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UniNE at PAN-CLEF 2021
Catherine Ikae

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UniNE at PAN-CLEF 2021: Authorship Verification
Catherine Ikae

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Early Detection of Online Hate Speech Spreaders with Learned User Representations
Darius Irani | Avyakta Wrat | Silvio Amir

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Profiling Hate Speech Spreaders on Twitter
Rakshita Jain | Devanshi Goel | Prashant Sahu | Abhinav Kumar | Jyoti Prakash Singh

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Using N-grams and Statistical Features to Identify Hate Speech Spreaders on Twitter
Eszter Katona | Jakab Buda | Flora Bolonyai

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Deep Modeling of Latent Representations for Twitter Profiles on Hate Speech Spreaders Identification. Notebook for PAN at CLEF 2021
Roberto Labadie | Daniel Castro-Castro | Reynier Ortega Bueno

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HaMor at the Profiling Hate Speech Spreaders on Twitter
Mirko Lai | Marco Antonio Stranisci | Cristina Bosco | Rossana Damiano | Viviana Patti

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Authorship Verification based on Lucene architecture
Zhihao Liao | Yong Han | Leilei Kong | Zhuopeng Hong | Zijian Li | Guiyuan Liang | Zhenwei Mo | Zhixian Li | Zhongyuan Han

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Hate Speech Detection on Twitter
Carolina Martín del Campo Rodríguez | Grigori Sidorov | Ildar Z. Batyrshin

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Authorship Verification with neural networks via stylometric feature concatenation
Antonio Menta Garuz | Ana García-Serrano

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Dual Neural Network Classification Based on BERT Feature Extraction for Authorship Verification
Xiaogang Miao | Haoliang Qi | Zhijie Zhang | Guiyuan Cao | Ruilan Lin | Wenbin Lin

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Style change detection using Siamese neural networks
Sukanya Nath

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University of Regensburg @ PAN: Profiling Hate Speech Spreaders on Twitter
Kwabena Odame Akomeah | Udo Kruschwitz | Bernd Ludwig

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Local Classification with Recurrent Neural Network for Profiling Hate Speech Spreaders on Twitter. Notebook for PAN at CLEF 2021
Pablo Pallarés | Carlos Herrero

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Encoding Text Information By Pre-trained Model For Authorship Verification
Zeyang Peng | Leilei Kong | Zhijie Zhang | Zhongyuan Han | Xu Sun

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Feature Similarity-based Regression Models for Authorship Verification
Marina Pinzhakova | Tom Yagel | Jakov Rabinovits

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Phonetic Detection for Hate Speech Spreaders on Twitter
Edwin Puertas | Juan Carlos Martínez Santos

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Detection of hate speech spreaders using convolutional neural networks
Marco Siino | Elisa Di Nuovo | Ilenia Tinnirello | Marco La Cascia

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Writing Style Change Detection on Multi-Author Documents
Rhia Singh | Janith Weerasinghe | Rachel Greenstadt

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Multi-label Style Change Detection by Solving a Binary Classification Problem
Eivind Strøm

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Multi-level stacked ensemble with sparse and dense features for hate speech detection on Twitter
Darko Tosev | Sonja Gievska

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Siamese Bert for Authorship Verification
Jacob Tyo | Bhuwan Dhingra | Zachary Lipton

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Detecting Hate Speech Spreaders on Twitter using LSTM and BERT in English and Spanish
Moshe Uzan | Yaakov HaCohen-Kerner

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Profiling Hate Speech Spreaders on Twitter: Exploiting Textual Analysis of Tweets and Combination of Textual Representations
Cláudio Moisés Valiense de Andrade | Marcos André Gonçalves

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Profiling Hate Speech Spreaders on Twitter: SVM vs. Bi-LSTM
Inna Vogel | Meghana Meghana

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Feature Vector Difference based Authorship Verification for Open-World Settings
Janith Weerasinghe | Rhia Singh | Rachel Greenstadt

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Style Change Detection Based On Writing Style Similarity
Zhijie Zhang | Zhongyuan Han | Leilei Kong | Xiaogang Miao | Zeyang Peng | Jieming Zeng | Haojie Cao | Jinxi Zhang | Ziwei Xiao | Xuemei Peng

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Overview of SimpleText CLEF 2021 Workshop and Pilot Tasks
Liana Ermakova | Patrice Bellot | Pavel Braslavski | Jaap Kamps | Josiane Mothe | Diana Nurbakova | Irina Ovchinnikova | Eric SanJuan

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Overview of the SimpleText Workshop at INFORSID-2021: Scientific Text Simplification and Popularization
Liana Ermakova | Josiane Mothe | Eric SanJuan

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Multimodal science communication: from documentary research to infographic via mind mapping
Sílvia Araújo | Radia Hannachi

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LIA@SimpleText2021: automatic query extraction from press outlets for mining related readable passages in scientific literature
Malek Hajjem | Eric SanJuan

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What Science-Related Topics Need to Be Popularized? A Comparative Study
Irina Ovchinnikova | Diana Nurbakova | Liana Ermakova

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Importance of Data and Controllability in Neural Text Simplification
Wei Xu

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Overview of Touché 2021: Argument Retrieval
Alexander Bondarenko | Lukas Gienapp | Maik Fröbe | Meriem Beloucif | Yamen Ajjour | Alexander Panchenko | Chris Biemann | Benno Stein | Henning Wachsmuth | Martin Potthast | Matthias Hagen

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Exploring Argument Retrieval for Controversial Questions Using Retrieve and Re-rank Pipelines
Raunak Agarwal | Andrei Koniaev | Robin Schaefer

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Learning to Rank Arguments with Feature Selection
Christopher Akiki | Maik Fröbe | Matthias Hagen | Martin Potthast

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Development of an IR System for Argument Search
Marco Alecci | Tommaso Baldo | Luca Martinelli | Elia Ziroldo

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DistilBERT-based Argumentation Retrieval for Answering Comparative Questions
Alaa Alhamzeh | Mohamed Bouhaouel | Elöd Egyed-Zsigmond | Jelena Mitrovic

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Document retrieval task on controversial topic with Re-Ranking approach
Andrea Cassetta | Alberto Piva | Enrico Vicentini

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Retrieving Comparative Arguments using Ensemble Methods and BERT
Viktoria Chekalina | Alexander Panchenko

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Quality-aware Argument Retrieval with Topical Clustering
Lukas Gienapp

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Exploring BERT Synonyms and Quality Prediction for Argument Retrieval
Tommaso Green | Luca Moroldo | Alberto Valente

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Touché Task 2: Comparative Argument Retrieval A document-based search engine for answering comparative questions
Daniel Helmrich | Denis Streitmatter | Fionn Fuchs | Maximilian Heykeroth

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Argument Retrieval for Comparative Questions based on independent features
Thi Kim Hanh Luu | Jan-Niklas Weder

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Exploring Document Expansion for Argument Retrieval
Alina Mailach | Denise Arnold | Stefan Eysoldt | Simon Kleine

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A Search Engine System for Touché Argument Retrieval task to answer Controversial Questions
Edoardo Raimondi | Marco Alessio | Nicola Levorato

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Team Skeletor at Touché 2021: Argument Retrieval and Visualization for Controversial Questions
Kevin Ros | Carl Edwards | Heng Ji | Chengxiang Zhai

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Thor at Touché 2021: Argument Retrieval for Comparative Questions
Ekaterina Shirshakova | Ahmad Wattar

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Preface