Shared Tasks (2022)

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Shared Tasks (2022)

Content

CLEF
- ARQMath: Answer Retrieval for Questions on Math
- BioASQ: Large-scale biomedical semantic indexing and question answering
- CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection
- ChEMU: Cheminformatics Elsevier Melbourne University lab
- eRisk: Early risk prediction on the Internet
- HIPE: Named Entity Recognition and Linking in Multilingual Historical Documents
- iDPP: Intelligent Disease Progression Prediction
- ImageCLEF: Multimedia Retrieval Challenge
- JokeR: Automatic Wordplay and Humour Translation
- LeQua: Learning to Quantify
- LifeCLEF: Biodiversity identification and prediction Challenges
- PAN Lab on Digital Text Forensics and Stylometry
- SimpleText: Automatic Simplification of Scientific Texts
- Touché: Argument Retrieval

CLEF: ARQMath: Answer Retrieval for Questions on Math

Overview papers:

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Overview of ARQMath-3 (2022): Third CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version)
Behrooz Mansouri | Vít Novotný | Anurag Agarwal | Douglas W. Oard | Richard Zanibbi

Participant papers:

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Diverse Semantics Representation is King
Martin Geletka | Vojtech Kalivoda | Michal Stefánik | Marek Toma | Petr Sojka

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Dowsing for Answers to Math Questions: Doing Better with Less
Andrew Kane | Yin Ki Ng | Frank Wm. Tompa

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Expanding Spatial Regions and Incorporating IDF for PHOC-Based Math Formula Retrieval at ARQMath-3
Matt Langsenkamp | Behrooz Mansouri | Richard Zanibbi

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DPRL Systems in the CLEF 2022 ARQMath Lab: Introducing MathAMR for Math-Aware Search
Behrooz Mansouri | Douglas W. Oard | Richard Zanibbi

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Combining Sparse and Dense Information Retrieval
Vít Novotný | Michal Stefánik

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Transformer-Encoder and Decoder Models for Questions on Math
Anja Reusch | Maik Thiele | Wolfgang Lehner

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Formula Retrieval Using Structural Similarity
Sandip Sarkar | Dipankar Das | Partha Pakray | David Pinto

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Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, CLEF
Wei Zhong | Yuqing Xie | Jimmy Lin

CLEF: BioASQ: Large-scale biomedical semantic indexing and question answering

Overview papers:

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Overview of BioASQ Tasks 10a, 10b and Synergy10 in CLEF2022
Anastasios Nentidis | Georgios Katsimpras | Eirini Vandorou | Anastasia Krithara | Georgios Paliouras

Participant papers:

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Deep Learning solutions based on fixed contextualized embeddings from PubMedBERT on BioASQ 10b and traditional IR in Synergy
Tiago Almeida | André Pinho | Rodrigo Pereira | Sérgio Matos

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Exploring Biomedical Question Answering with BioM-Transformers At BioASQ10B challenge: Findings and Techniques
Sultan Alrowili | K. Vijay-Shanker

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DIAGÑOZA: a Natural Language Processing Tool for Automatic Annotation of Clinical Free Text with SNOMED-CT
Matic Bernik | Robert Tovornik | Borut Fabjan | Luis Marco-Ruiz

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HPI-DHC @ BioASQ DisTEMIST: Spanish Biomedical Entity Linking with Pre-trained Transformers and Cross-lingual Candidate Retrieval
Florian Borchert | Matthieu-P. Schapranow

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A Simple Terminology-Based Approach to Clinical Entity Recognition
José M. Castaño | Laura Gambarte | Carlos Otero | Daniel Luna

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LaRSA at BioASQ 10b: classical and novel approaches for biomedical document retrieval and question answering
Zakaria Kaddari | Toumi Bouchentouf

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Zero-shot Hybrid Retrieval and Reranking Models for Biomedical Literature
Jing Lu | Ji Ma | Keith B. Hall

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BioTABQA: Instruction Learning for Biomedical Table Question Answering
Man Luo | Sharad Saxena | Swaroop Mishra | Mihir Parmar | Chitta Baral

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Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering
Diego Mollá

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Biomedical Spanish Language Models for entity recognition and linking at BioASQ DisTEMIST
Vincenzo Moscato | Marco Postiglione | Giancarlo Sperlì

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Unicage at DISTEMIST - Named Entity Recognition system using only Bash and Unicage tools
André Neves

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ELECTROLBERT: Combining Replaced Token Detection and Sentence Order Prediction
Martin Reczko

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Clinical Named Entity Recognition and Linking using BERT in Combination with Spanish Medical Embeddings
Javier Reyes-Aguillón | Rodrigo del Moral | Orlando Ramos Flores | Helena Gómez-Adorno | Gemma Bel-Enguix

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mBERT and Simple Post-Processing: A Baseline for Disease Mention Detection in Spanish
Antonio Tamayo | Diego A. Burgos | Alexander F. Gelbukh

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NCU-IISR/AS-GIS: Using BERTScore and Snippet Score to Improve the Performance of Pretrained Language Model in BioASQ 10b Phase B
Hao-Hsuan Ting | Yu Zhang | Jen-Chieh Han | Richard Tzong-Han Tsai

CLEF: CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection

Overview papers:

Participant papers:

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PoliMi-FlatEarthers at CheckThat!-2022: GPT-3 applied to claim detection
Stefano Agresti | S. Amin Hashemian | Mark J. Carman

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SCUoL at CheckThat!-2022: Fake News Detection Using Transformer-Based Models
Saud Althabiti | Mohammad Ammar Alsalka | Eric Atwell

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CODE at CheckThat!-2022: Multi-class fake news detection of news articles with BERT
Olivier Blanc | Albert Pritzkau | Ulrich Schade | Michaela Geierhos

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Zorros at CheckThat!-2022: Ensemble Model for Identifying Relevant Claims in Tweets
Nicu Buliga | Madalina Raschip

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NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5
Mingzhe Du | Sujatha Das Gollapalli | See-Kiong Ng

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TOBB ETU at CheckThat!-2022: Detecting Attention-Worthy and Harmful Tweets and Check-Worthy Claims
Ahmet Bahadir Eyuboglu | Mustafa Bora Arslan | Ekrem Sonmezer | Mücahid Kutlu

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Fraunhofer SIT at CheckThat!-2022: Semi-Supervised Ensemble Classification for Detecting Check-Worthy Tweets
Raphael Antonius Frick | Inna Vogel | Isabella Nunes Grieser

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SimBa at CheckThat!-2022: Lexical and Semantic Similarity Based Detection of Verified Claims in an Unsupervised and Supervised Way
Alica Hövelmeyer | Katarina Boland | Stefan Dietze

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RUB-DFL at CheckThat!-2022: Transformer Models and Linguistic Features for Identifying Relevant Claims
Zehra Melce Hüsünbeyi | Oliver Deck | Tatjana Scheffler

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VTU_BGM at Check That!-2022: An Autoregressive Encoding Model for Detecting Check-worthy Claims
Sanjana Kavatagi | Rashmi Rachh | Madhura Mulimani

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Text_Minor at CheckThat!-2022: Fake News Article Detection Using RoBERT
Sujit Kumar | Gaurav Kumar | Sanasam Ranbir Singh

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COURAGE at CheckThat!-2022: Harmful Tweet Detection using Graph Neural Networks and ELECTRA
Francesco Lomonaco | Gregor Donabauer | Marco Siino

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FoSIL at CheckThat!-2022: Using Human Behaviour-Based Optimization for Text Classification
Andy Ludwig | Jenny Felser | Jian Xi | Dirk Labudde | Michael Spranger

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NLPIR-UNED at CheckThat!-2022: Ensemble of Classifiers for Fake News Detection
Juan R. Martinez-Rico | Juan Martínez-Romo | Lourdes Araujo

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CoulterOzler at CheckThat!-2022: Detecting fake news with transformers
Kadir Bulut Özler | Riah Coulter

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HBDCI at CheckThat!-2022: Fake News Detection Using a Combination of stylometric Features and Deep Learning
Claudia Porto Capetillo | Diego Lecuona-Gómez | Helena Gómez-Adorno | Ignacio Arroyo-Fernández | Jair Neri-Chávez

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NLytics at CheckThat!-2022: Hierarchical multi-class fake news detection of news articles exploiting the topic structure
Albert Pritzkau | Olivier Blanc | Michaela Geierhos | Ulrich Schade

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NITK-IT_NLP at CheckThat!-2022: Window based approach for Fake News Detection using transformers
Hariharan RamakrishnaIyer LekshmiAmmal | Anand Kumar Madasamy

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AI Rational at CheckThat!-2022: Using transformer models for tweet classification
Aleksandar Savchev

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RIET Lab at CheckThat!-2022: Improving Decoder based Re-ranking for Claim Matching
Michael Shliselberg | Shiri Dori-Hacohen

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Asatya at CheckThat!-2022: Multimodal BERT for Identifying Claims in Tweets
Manan Suri | Prajeet Katari | Saumay Dudeja

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iCompass at CheckThat!-2022: ARBERT and AraBERT for Arabic Checkworthy Tweet Identification
Bilel Taboubi | Mohamed Aziz Ben Nessir | Hatem Haddad

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Z-Index at CheckThat! Lab 2022: Check-Worthiness Identification on Tweet Text
Prerona Tarannum | Md. Arid Hasan | Firoj Alam | Sheak Rashed Haider Noori

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ARC-NLP at CheckThat!-2022: Contradiction for Harmful Tweet Detection
Cagri Toraman | Oguzhan Ozcelik | Furkan Sahinuç | Umitcan Sahin

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ur-iw-hnt at CheckThat!-2022: Cross-lingual Text Summarization for Fake News Detection
Hoai Nam Tran | Udo Kruschwitz

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Awakened at CheckThat!-2022: Fake News Detection using BiLSTM and Sentence Transformer
Ciprian-Octavian Truica | Elena Simona Apostol | Adrian Paschke

CLEF: ChEMU: Cheminformatics Elsevier Melbourne University lab

Overview papers:

Participant papers:

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HUKB at ChEMU 2022 Task 1: Expression-Level Information Extraction
Kojiro Machi | Masaharu Yoshioka

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NLPatVCU: CLEF 2022 ChEMU Shared Task System Description
Darshini Mahendran | Christina Tang | Bridget T. McInnes

CLEF: eRisk: Early risk prediction on the Internet

Overview papers:

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Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview)
Javier Parapar | Patricia Martín-Rodilla | David E. Losada | Fabio Crestani

Participant papers:

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An End-to-End Set Transformer for User-Level Classification of Depression and Gambling Disorder
Ana-Maria Bucur | Adrian Cosma | Liviu P. Dinu | Paolo Rosso

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UNED-MED at eRisk 2022: depression detection with TF-IDF, linguistic features and Embeddings
Elena Campillo Ageitos | Juan Martínez-Romo | Lourdes Araujo

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Early detection of depression using BERT and DeBERTa
Sreegeethi Devaguptam | Thanmai Kogatam | Nishka Kotian | Anand Kumar M

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CLEF eRisk 2022: Detecting Early Signs of Pathological Gambling using ML and DL models with dataset chunking
Tudor-Andrei Dumitrascu

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UNED-NLP at eRisk 2022: Analyzing gambling disorders in Social Media using Approximate Nearest Neighbors
Hermenegildo Fabregat | Andrés Duque | Lourdes Araujo | Juan Martínez-Romo

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Early risk detection of mental illnesses using various types of textual features
Rodrigo Ferreira | Alina Trifan | José Luís Oliveira

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Sunday Rockers at eRisk 2022: Early Detection of Depression
Raluca-Andreea Gînga | Andrei-Alexandru Manea | Bogdan-Mihai Dobre

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UNSL at eRisk 2022: Decision policies with history for early classification
Juan Martín Loyola | Horacio Thompson | Sergio Burdisso | Marcelo Errecalde

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SINAI at eRisk@CLEF 2022: Approaching Early Detection of Gambling and Eating Disorders with Natural Language Processing
Alba María Mármol-Romero | Salud María Jiménez Zafra | Flor Miriam Plaza del Arco | M. Dolores Molina-González | María Teresa Martín Valdivia | Arturo Montejo-Ráez

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NLP-IISERB@eRisk2022: Exploring the Potential of Bag of Words, Document Embeddings and Transformer Based Framework for Early Prediction of Eating Disorder, Depression and Pathological Gambling Over Social Media
Harshvardhan Srivastava | Lijin N. S | Sruthi S | Tanmay Basu

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ZHAW at eRisk 2022: Predicting Signs of Pathological Gambling - GloVe for Snowy Days
Samuel Stalder | Erman Zankov

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LauSAn at eRisk 2022: Simply and Effectively Optimizing Text Classification for Early Detection
Andreas Säuberli | Sooyeon Cho | Laura Stahlhut

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Early detection of depression with linear models using hand-crafted and contextual features
Ilija Tavchioski | Blaz Skrlj | Senja Pollak | Boshko Koloski

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CYUT Team2 SimpleText Shared Task Report in CLEF-2022
Shih-Hung Wu | Hong-Yi Huang

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TUA1 at eRisk 2022: Exploring Affective Memories for Early Detection of Depression
Xin Kang | Rongyu Dou | Haitao Yu

CLEF: HIPE: Named Entity Recognition and Linking in Multilingual Historical Documents

Overview papers:

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Extended Overview of HIPE-2022: Named Entity Recognition and Linking in Multilingual Historical Documents
Maud Ehrmann | Matteo Romanello | Sven Najem-Meyer | Antoine Doucet | Simon Clematide

Participant papers:

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Entity Linking in Multilingual Newspapers and Classical Commentaries with BERT
Kai Labusch | Clemens Neudecker

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Exploring Transformers for Multilingual Historical Named Entity Recognition
Anja Ryser | Quynh-Anh Nguyen | Niclas Bodenmann | Shih-Yun Chen

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hmBERT: Historical Multilingual Language Models for Named Entity Recognition
Stefan Schweter | Luisa März | Katharina Schmid | Erion Çano

CLEF: iDPP: Intelligent Disease Progression Prediction

Overview papers:

Participant papers:

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Evaluation of XAI on ALS 6-months mortality prediction
Tommaso Mario Buonocore | Giovanna Nicora | Arianna Dagliati | Enea Parimbelli

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Predicting the Risk of & Time to Impairment for ALS patients
Aidan Mannion | Thierry Chevalier | Didier Schwab | Lorraine Goeuriot

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Multi-Event Survival Prediction for Amyotrophic Lateral Sclerosis
Corrado Pancotti | Giovanni Birolo | Tiziana Sanavia | Cesare Rollo | Piero Fariselli

CLEF: ImageCLEF: Multimedia Retrieval Challenge

Overview papers:

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Overview of ImageCLEFtuberculosis 2022 - CT-based Cavern Detection and Report
Serge Kozlovski | Yashin Dicente Cid | Vassili Kovalev | Henning Müller

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Overview of the ImageCLEF 2022 Aware Task
Adrian Popescu | Jérôme Deshayes-Chossart | Hugo Schindler | Bogdan Ionescu

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Overview of ImageCLEFfusion 2022 Task - Ensembling Methods for Media Interestingness Prediction and Result Diversification
Liviu-Daniel Stefan | Mihai Gabriel Constantin | Mihai Dogariu | Bogdan Ionescu

Participant papers:

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ImageCLEFcoral task: Coral reef image annotation and localisation
Jon Chamberlain | Alba García Seco de Herrera | Antonio Campello | Adrian F. Clark

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Caverns Detection and Caverns Report in Tuberculosis: lesion detection based on image using YOLO-V3 and median based multi-label multi-class classification using SRGAN
Tetsuya Asakawa | Riku Tsuneda | Kazuki Shimizu | Takuyuki Komoda | Masaki Aono

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AIMultimediaLab at ImageCLEFfusion 2022: DeepFusion Methods for Ensembling in Diverse Scenarios
Mihai Gabriel Constantin | Liviu-Daniel Stefan | Mihai Dogariu | Bogdan Ionescu

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CMRE-UoG team at ImageCLEFmedical Caption 2022: Concept Detection and Image Captioning
Francesco Dalla Serra | Fani Deligianni | Jeffrey Dalton | Alison Q. O'Neil

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ImageCLEFmedical Caption Task, Concept Detection, Finding Duplicates, SDVA-UCSD Approach
Amilcare Gentili

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Dual Convolutional Neural Networks and Regression model based Coral Reef Annotation and Localization
Rohit Raj Gunti | Abebe Rorissa

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Monitoring Coral Reefs Using Faster R-CNN
Felix Kerlin | Kirill Bogomasov | Stefan Conrad

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Polimi-ImageClef Group at ImageCLEFmedical Caption task 2022
Seyyed Ali Mir Ghayyomnia | Kai de Gast | Mark J. Carman

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NeuralDynamicsLab at ImageCLEFmedical 2022
Georgios Moschovis | Erik Fransén

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SSN MLRG at ImageCLEFmedical Caption 2022: Medical Concept Detection and Caption Prediction using Transfer Learning and Transformer based Learning Approaches
Sheerin Sitara Noor Mohamed | Kavitha Srinivasan

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SSN CSE at ImageCLEFaware 2022: Contextual Job Search Feedback Score based on Photographic Profile using a Random Forest Regression Technique
Aarthi Nunna | Aravind Kannan Rathinasapabathi | Chirag Bheemaiah P. K | Kavitha Srinivasan

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CS_Morgan at ImageCLEFmedical 2022 Caption Task: Deep Learning Based Multi-Label Classification and Transformers for Concept Detection & Caption Prediction
Md Mahmudur Rahman | Oyebisi Layode

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Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption
Isabel Rio-Torto | Cristiano Patrício | Helena Montenegro | Tiago Gonçalves

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SSN MLRG at ImageCLEF 2022 Tuberculosis: Caverns Report using 3D CNN and Uniformizing Techniques
Dheepak S | Kavitha Srinivasan | Raghuraman G

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Kdelab at ImageCLEFmedical 2022: Medical Concept Detection with Image Retrieval and Code Ensemble
Riku Tsuneda | Tetsuya Asakawa | Kazuki Shimizu | Takuyuki Komoda | Masaki Aono

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ImageSem Group at ImageCLEFmedical Caption 2022 task: Generating Medical Image Descriptions based on Vision-Language Pre-training
Xuwen Wang | Jiao Li

CLEF: JokeR: Automatic Wordplay and Humour Translation

Overview papers:

Participant papers:

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Wordplay location and interpretation with deep learning methods
Hakima Arroubat

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Using 'punning schemes' as a template for translating wordplay
Julien Boccou

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A history of classification and JokeR's reach
Paul Campen | Albin Digue

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Translation strategies: adaptation and equivalence - Joker contest
Aurianne Damoy

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Translating, transcribing, transmitting and transcending a pun: why playing with words is far from being punless/pointless
Charlotte Daniel | Noémie Vandenborre

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A translation-oriented categorisation of wordplays
Michel Delarche

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FAST-MT Participation for the JOKER CLEF-2022 Automatic Pun and Humour Translation Tasks
Farhan Dhanani | Muhammad Rafi | Muhammad Atif Tahir

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Automatic translation of wordplay
Albin Digue | Paul Campen

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Using machine learning to classify and interpret wordplay
Aygyul Epimakhova

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Humorous Wordplay Generation in French
Loïc Glemarec | Anne-Gwenn Bosser | Julien Boccou | Liana Ermakova

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Use of SimpleT5 for the CLEF workshop JokeR: Automatic Pun and Humor Translation
Loïc Glemarec

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LJGG @ CLEF JOKER Task 3: An improved solution joining with dataset from task 1
Leopoldo Jesús Gutiérrez Galeano

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Assessing Wordplay-Pun classification from JOKER dataset with pretrained BERT humorous models
Victor Manuel Palma-Preciado | Grigori Sidorov | Carolina Palma Preciado

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Automatic Translation and Wordplay: An Amateur's (Playful) Thoughts
Fabio Regattin

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Greenpeace Memes for Communicating Climate Change
Yuliya Samofalova | Andrea Catellani | Louise-Amélie Cougnon

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How good can an automatic translation of Pokémon names be?
Léa Talec-Bernard

CLEF: LeQua: Learning to Quantify

Overview papers:

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A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify
Andrea Esuli | Alejandro Moreo | Fabrizio Sebastiani | Gianluca Sperduti

Participant papers:

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UniOviedo(Team2) at LeQua 2022: Comparison of traditional quantifiers and a new method based on Energy Distance
Juan José del Coz

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UniPadova @ LeQua 2022: A Preliminary Study of a BM25 Approach to Quantification
Giorgio Maria Di Nunzio

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UniOviedo(Team1) at LeQua 2022: Sample-based quantification using deep learning
Pablo González

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UniLeiden at LeQua 2022: The first step in understanding the behaviour of the median sweep quantifier using continuous sweep
Kevin Kloos | Quinten A. Meertens | Julian D. Karch

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KULeuven at LeQua 2022: Model Calibration in Quantification Learning
Teodora Popordanoska | Matthew B. Blaschko

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DortmundAI at LeQua 2022: Regularized SLD
Martin Senz | Mirko Bunse

CLEF: LifeCLEF: Biodiversity identification and prediction Challenges

Overview papers:

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Overview of PlantCLEF 2022: Image-based plant identification at global scale
Hervé Goëau | Pierre Bonnet | Alexis Joly

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Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem
Lukás Picek | Milan Sulc | Jirí Matas | Jacob Heilmann-Clausen

Participant papers:

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Combination of Object Detection, Geospatial Data, and Feature Concatenation for Snake Species Identification
Louise Bloch | Jan-Frederick Böckmann | Benjamin Bracke | Christoph M. Friedrich

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A Global-Scale Plant Identification using Deep Learning: NEUON Submission to PlantCLEF 2022
Sophia Chulif | Sue Han Lee | Yang Loong Chang

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Few-shot Long-Tailed Bird Audio Recognition
Marcos V. Conde | Ui-Jin Choi

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Classification of Fungi Species: A Deep Learning Based Image Feature Extraction and Gradient Boosting Ensemble Approach
Karthik Desingu | Anirudh Bhaskar | Mirunalini Palaniappan | Eeswara Anvesh Chodisetty | Haricharan Bharathi

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Plant and Animal Species Prediction at Certain Locations with Convolutional Neural Networks
Juntao Jiang

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Plant Species Identification using Probability Tree Approach of Deep Learning Models
Karun Anantharaman | Krishnakumar Divyasri | Sella Veluswami Jansi Rani

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Block Label Swap for Species Distribution Modelling
Benjamin Kellenberger | Devis Tuia

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Bird Species Classification: One Step at a Time
Sidhart Krishnan | Priya Khandelwal | Rhythm Garg

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Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks
César Leblanc | Alexis Joly | Titouan Lorieul | Maximilien Servajean | Pierre Bonnet

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Dealing with Class Imbalance in Bird Sound Classification
Eduard Martynov | Yuuichiroh Uematsu

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Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022
Anthony Miyaguchi | Jiangyue Yu | Bryan Cheungvivatpant | Dakota Dudley | Aniketh Swain

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Image-based plant identification with taxonomy aware architecture
Jack Min Ong | Sze Jue Yang | Kam Woh Ng | Chee Seng Chan

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Deep Learning and Gradient Boosting Ensembles for Classification of Snake Species
Mirunalini Palaniappan | Karthik Desingu | Haricharan Bharathi | Eeswara Anvesh Chodisetty | Anirudh Bhaskar

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TUC Media Computing at BirdCLEF 2022: Strategies in identifying bird sounds in a complex acoustic environments
Arunodhayan Sampath Kumar | Danny Kowerko

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When Large Kernel Meets Vision Transformer: A Solution for SnakeCLEF & FungiCLEF
Yang Shen | Xuhao Sun | Zijian Zhu

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Convolution Neural Network Fine-tuning for Plant and Animal Species Distribution Modelling
Mélisande Teng | Sal Elkafrawy

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Transformer-based Fine-Grained Fungi Classification in an Open-Set Scenario
Stefan Wolf | Jürgen Beyerer

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Transfer Learning with Self-Supervised Vision Transformer for Large-Scale Plant Identification
Mingle Xu | Sook Yoon | Yongchae Jeong | Jaesu Lee | Dong Sun Park

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Solution for SnakeCLEF 2022 by Tackling Long-tailed Categorization
Lingfeng Yang | Xiang Li | Renjie Song | Kexin Zhu | Gang Li

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Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022
Cheng Zou | Furong Xu | Meng Wang | Wen Li | Yuan Cheng

CLEF: PAN Lab on Digital Text Forensics and Stylometry

Overview papers:

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Profiling Irony and Stereotype Spreaders on Twitter (IROSTEREO). Overview for PAN at CLEF 2022
Reynier Ortega Bueno | Berta Chulvi | Francisco Rangel | Paolo Rosso | Elisabetta Fersini

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Overview of the Style Change Detection Task at PAN 2022
Eva Zangerle | Maximilian Mayerl | Martin Potthast | Benno Stein

Participant papers:

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Ensemble-Based Clustering for Writing Style Change Detection in Multi-Authored Textual Documents
Shams Alshamasi | Mohamed Menai

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Style Change Detection using Discourse Markers
Faisal Alvi | Hasan Algafri | Naif Alqahtani

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User profiling: voting scheme
María Fernanda Artigas Herold | Daniel Castro Castro

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Profiling Irony and Stereotype Spreaders with Encoding Dependency Information using Graph Convolutional Network
Hamed Babaei Giglou | Mostafa Rahgouy | Ali Rahmati | Taher Rahgooy | Cheryl D. Seals

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CIC@PAN: Simplifying Irony Profiling using Twitter Data
Sabur Butt | Fazlourrahman Balouchzahi | Grigori Sidorov | Alexander F. Gelbukh

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An SVM Ensemble Approach to Detect Irony and Stereotype Spreaders on Twitter
Daniele Croce | Domenico Garlisi | Marco Siino

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Irony and Stereotype Spreading Author Profiling on Twitter using Machine Learning: A BERT-TFIDF based Approach
Amit Das | Nilanjana Raychawdhary | Gerry V. Dozier | Cheryl D. Seals

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UMUTeam at IROSTEREO: Profiling Irony and Stereotype spreaders on Twitter combining Linguistic Features with Transformers
José Antonio García-Díaz | Miguel Ángel Rodríguez-García | Francisco García-Sánchez | Rafael Valencia-García

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An Unorthodox Approach for Style Change Detection
Lukas Graner | Paul Ranly

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BERT Sentence Embeddings in different Machine Learning and Deep Learning Models for Author Profiling applied to Irony and Stereotype Spreaders on Twitter
Claudia Gómez | Daniel Parres

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Profiling Irony Speech Spreaders on Social Networks Using Deep Cleaning and BERT
Leila Hazrati | Alireza Sokhandan | Leili Farzinvash

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Exploiting Affective-based Information for Profiling Ironic Users on Twitter
Delia Irazú Hernández Farías | Manuel Montes-y-Gómez

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Profiling Irony and Stereotype Spreaders with Language Models and Bayes' Theorem
Xinting Huang

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UniNE at PAN-CLEF 2022: Profiling Irony and Stereotype Spreaders on Twitter
Catherine Ikae

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Lexicon-Based Profiling of Irony and Stereotype Spreaders
Hyewon Jang

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Style Change Detection: Method Based On Pre-trained Model And Similarity Recognition
Xinyin Jiang | Haoliang Qi | Zhijie Zhang | Mingjie Huang

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Different Encoding Approaches for Authorship Verification
Stefanos Konstantinou | Jinqiao Li | Angelos Zinonos

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Graph-Based Profile Condensation for Users Profiling
Roberto Labadie Tamayo | Daniel Castro-Castro

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Application of BERT in author verification task
Ziwang Lei | Haoliang Qi | Han Y | Zeyang Peng | Mingjie Huang

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Ensemble Pre-trained Transformer Models for Writing Style Change Detection
Tzu-Mi Lin | Chao-Yi Chen | Yu-Wen Tzeng | Lung-Hao Lee

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Profiling Irony and Stereotype Spreaders on Twitter Using TF-IDF and Neural Network
Haolong Ma | Dingjia Li | Yutong Sun

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Improving Irony and Stereotype Spreaders Detection using Data Augmentation and Convolutional Neural Network
Stefano Mangione | Marco Siino | Giovanni Garbo

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Graph-Based Siamese Network for Authorship Verification
Jorge Alfonso Martinez Galicia | Daniel Embarcadero Ruiz | Alejandro Ríos Orduña | Helena Gómez-Adorno

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Text-to-Text Transformer in Authorship Verification Via Stylistic and Semantical Analysis
Maryam Najafi | Ehsan Tavan

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Irony &Stereotype Spreader Detection using Random Forests
Tiago Filipe Nunes Ribeiro | Yana Nikolaeva Nikolova | Kaja Seraphina Elisa Hano

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Three Style Similarity: sentence-embedding, auxiliary words, punctuation
Carlos Alberto Rodríguez-Losada | Daniel Castro-Castro

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Isolated Profile Style Representation
Carlos Alberto Rodríguez-Losada | Daniel Castro-Castro

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Profiling Irony and Stereotype Spreaders on Twitter: PAN Shared Task (IROSTEREO) 2022
Alvaro Rodríguez Sánchez | Martín Barroso Ordóñez

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T100: A modern classic ensemble to profile irony and stereotype spreaders
Marco Siino | Ilenia Tinnirello | Marco La Cascia

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Profiling irony and stereotype spreaders on Twitter based on term frequency in tweets
Dhaval Taunk | Sagar Joshi | Vasudeva Varma

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Identifying Ironic Content Spreaders on Twitter using Psychometrics, Contextual and Ironic Features with Gradient Boosting Classifier
Ehsan Tavan | Maryam Najafi | Reza Moradi

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Notebook for PAN at CLEF 2022: Profiling Irony and Stereotype Spreaders on Twitter
Bin Wang | Hui Ning

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Profiling Irony and Stereotype Spreaders on Twitter with BERT
Yifan Xu | Hui Ning

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A Intelligent Detection Method for Irony and Stereotype Based on Hybird Neural Networks
Zexian Yang | Li Ma | Wenyin Yang | Qidi Lao | Zhenlin Tan

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BERT-based ironic authors profiling
Wentao Yu | Benedikt T. Boenninghoff | Dorothea Kolossa

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Analysis of Irony and Stereotype Spreaders Based On Convolutional Neural Networks
Dong Yuan | Wenyin Yang | Li Ma | Zhenlin Tan | Qidi Lao

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An Ensemble Machine Learning Classifier for Profiling Irony and Stereotype Spreaders on Twitter
Zengyao Li | Zhongyuan Han | Mingjie Huang | Leilei Kong

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Irony and Stereotype Spreaders Detection using BERT-large and AutoGulon
Yuning Zhang | Hui Ning

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Style Change Detection based on Prompt
Zhijie Zhang | Zhongyuan Han | Leilei Kong

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Style Change Detection Based On Bi-LSTM And Bert
Jiayang Zi | Ling Zhou | Zhengyao Liu

CLEF: SimpleText: Automatic Simplification of Scientific Texts

Overview papers:

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Overview of the CLEF 2022 SimpleText Task 1: Passage Selection for a Simplified Summary
Eric SanJuan | Stéphane Huet | Jaap Kamps | Liana Ermakova

Participant papers:

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Searching for explanation of difficult scientific terms
Majda Ennaciri

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Assembly Models for SimpleText Task 2: Results from Wuhan University Research Group
Jianfei Huang | Jin Mao

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Controllable Sentence Simplification Using Transfer Learning
Antonio Menta Garuz | Ana García-Serrano

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Using a Pre-trained SimpleT5 Model for Text Simplification in a Limited Corpus
José Monteiro | Micaela Aguiar | Sílvia Araújo

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University of Amsterdam at the CLEF 2022 SimpleText Track
Femke Mostert | Ashmita Sampatsing | Mink Spronk | David Rau | Jaap Kamps

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HULAT-UC3M at SimpleText@CLEF-2022: Scientific text simplification using BART
Adrián Rubio | Paloma Martínez

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NLP-IISERB@Simpletext2022: To Explore the Performance of BM25 and Transformer Based Frameworks for Automatic Simplification of Scientific Texts
Sourav Saha | Dwaipayan Roy | B. Yuvaraj Goud | Chethan S. Reddy | Tanmay Basu

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Is Using an AI to Simplify a Scientific Text Really Worth It?
Léa Talec-Bernard

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CYUT Team2 SimpleText Shared Task Report in CLEF-2022
Shih-Hung Wu | Hong-Yi Huang

CLEF: Touché: Argument Retrieval

Overview papers:

Participant papers:

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Aramis at Touché 2022: Argument Detection in Pictures using Machine Learning
Jan Braker | Lorenz Heinemann | Tobias Schreieder

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Boromir at Touché 2022: Combining Natural Language Processing and Machine Learning Techniques for Image Retrieval for Arguments
Thilo Brummerloh | Miriam Louise Carnot | Shirin Lange | Gregor Pfänder

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Retrieving Comparative Arguments using Deep Language Models
Viktoria Chekalina | Alexander Panchenko

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Team Bruce Banner at Touché 2022: Argument Retrieval for Controversial Questions
Bernardo C. Moreira | Henrique Lopes Cardoso | Bruno Martins | Fábio Goularte

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Stacked Model based Argument Extraction and Stance Detection using Embedded LSTM model
Pavani Rajula | Chia-Chien Hung | Simone Paolo Ponzetto

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Grimjack at Touché 2022: Axiomatic Re-ranking and Query Reformulation
Jan Heinrich Reimer | Johannes Huck | Alexander Bondarenko

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Quality-Aware Argument Re-Ranking for Comparative Questions
Niclas Arnhold | Philipp Rösner | Tobias Xylander

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The Pearl Retriever: Two-Stage Retrieval for Pairs of Argumentative Sentences
Sebastian Schmidt | Jonas Probst | Bianca Bartelt | Alexander Hinz

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Touché - Task 1 - Team Korg: Finding pairs of argumentative sentences using embeddings
Cuong Vo Ta | Florian Reiner | Immanuel von Detten | Fabian Stöhr

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Using BERT to retrieve relevant and argumentative sentence pairs
Nils Wenzlitschke | Pia Sülzle