Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022
Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Martin Potthast (Editors)
- Anthology ID:
- 2022.clef_conference-2022w
- Year:
- 2022
- Venue:
- clef_conference
- Publisher:
- CEUR-WS.org
- URL:
- https://ceur-ws.org/Vol-3180
- DBLP:
- conf/clef/2022w
Overview of ARQMath-3 (2022): Third CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version)
Behrooz Mansouri
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Vít Novotný
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Anurag Agarwal
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Douglas W. Oard
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Richard Zanibbi
Diverse Semantics Representation is King
Martin Geletka
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Vojtech Kalivoda
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Michal Stefánik
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Marek Toma
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Petr Sojka
Dowsing for Answers to Math Questions: Doing Better with Less
Andrew Kane
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Yin Ki Ng
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Frank Wm. Tompa
Expanding Spatial Regions and Incorporating IDF for PHOC-Based Math Formula Retrieval at ARQMath-3
Matt Langsenkamp
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Behrooz Mansouri
|
Richard Zanibbi
DPRL Systems in the CLEF 2022 ARQMath Lab: Introducing MathAMR for Math-Aware Search
Behrooz Mansouri
|
Douglas W. Oard
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Richard Zanibbi
Combining Sparse and Dense Information Retrieval
Vít Novotný
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Michal Stefánik
Transformer-Encoder and Decoder Models for Questions on Math
Anja Reusch
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Maik Thiele
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Wolfgang Lehner
Formula Retrieval Using Structural Similarity
Sandip Sarkar
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Dipankar Das
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Partha Pakray
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David Pinto
Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, CLEF
Wei Zhong
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Yuqing Xie
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Jimmy Lin
Overview of BioASQ Tasks 10a, 10b and Synergy10 in CLEF2022
Anastasios Nentidis
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Georgios Katsimpras
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Eirini Vandorou
|
Anastasia Krithara
|
Georgios Paliouras
Overview of DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts: results, methods, evaluation and multilingual resources
Antonio Miranda-Escalada
|
Luis Gascó
|
Salvador Lima-López
|
Eulàlia Farré-Maduell
|
Darryl Estrada
|
Anastasios Nentidis
|
Anastasia Krithara
|
Georgios Katsimpras
|
Georgios Paliouras
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Martin Krallinger
Deep Learning solutions based on fixed contextualized embeddings from PubMedBERT on BioASQ 10b and traditional IR in Synergy
Tiago Almeida
|
André Pinho
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Rodrigo Pereira
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Sérgio Matos
Exploring Biomedical Question Answering with BioM-Transformers At BioASQ10B challenge: Findings and Techniques
Sultan Alrowili
|
K. Vijay-Shanker
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
HPI-DHC @ BioASQ DisTEMIST: Spanish Biomedical Entity Linking with Pre-trained Transformers and Cross-lingual Candidate Retrieval
Florian Borchert
|
Matthieu-P. Schapranow
A Simple Terminology-Based Approach to Clinical Entity Recognition
José M. Castaño
|
Laura Gambarte
|
Carlos Otero
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Daniel Luna
SINAI at CLEF 2022: Leveraging biomedical transformers to detect and normalize disease mentions
Mariia Chizhikova
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Jaime Collado-Montañez
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Pilar López-Úbeda
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Manuel Carlos Díaz-Galiano
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Luis Alfonso Ureña López
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María Teresa Martín Valdivia
LaRSA at BioASQ 10b: classical and novel approaches for biomedical document retrieval and question answering
Zakaria Kaddari
|
Toumi Bouchentouf
Zero-shot Hybrid Retrieval and Reranking Models for Biomedical Literature
Jing Lu
|
Ji Ma
|
Keith B. Hall
BioTABQA: Instruction Learning for Biomedical Table Question Answering
Man Luo
|
Sharad Saxena
|
Swaroop Mishra
|
Mihir Parmar
|
Chitta Baral
Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering
Diego Mollá
Biomedical Spanish Language Models for entity recognition and linking at BioASQ DisTEMIST
Vincenzo Moscato
|
Marco Postiglione
|
Giancarlo Sperlì
Unicage at DISTEMIST - Named Entity Recognition system using only Bash and Unicage tools
André Neves
ELECTROLBERT: Combining Replaced Token Detection and Sentence Order Prediction
Martin Reczko
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
mBERT and Simple Post-Processing: A Baseline for Disease Mention Detection in Spanish
Antonio Tamayo
|
Diego A. Burgos
|
Alexander F. Gelbukh
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
Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets
Preslav Nakov
|
Alberto Barrón-Cedeño
|
Giovanni Da San Martino
|
Firoj Alam
|
Rubén Míguez
|
Tommaso Caselli
|
Mücahid Kutlu
|
Wajdi Zaghouani
|
Chengkai Li
|
Shaden Shaar
|
Hamdy Mubarak
|
Alex Nikolov
|
Yavuz Selim Kartal
Overview of the CLEF-2022 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims
Preslav Nakov
|
Giovanni Da San Martino
|
Firoj Alam
|
Shaden Shaar
|
Hamdy Mubarak
|
Nikolay Babulkov
Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection
Juliane Köhler
|
Gautam Kishore Shahi
|
Julia Maria Struß
|
Michael Wiegand
|
Melanie Siegel
|
Thomas Mandl
|
Mina Schütz
PoliMi-FlatEarthers at CheckThat!-2022: GPT-3 applied to claim detection
Stefano Agresti
|
S. Amin Hashemian
|
Mark J. Carman
SCUoL at CheckThat!-2022: Fake News Detection Using Transformer-Based Models
Saud Althabiti
|
Mohammad Ammar Alsalka
|
Eric Atwell
CIC at CheckThat!-2022: Multi-class and Cross-lingual Fake News Detection
Muhammad Arif
|
Atnafu Lambebo Tonja
|
Iqra Ameer
|
Olga Kolesnikova
|
Alexander F. Gelbukh
|
Grigori Sidorov
|
Abdul Gafar Manuel Meque
CODE at CheckThat!-2022: Multi-class fake news detection of news articles with BERT
Olivier Blanc
|
Albert Pritzkau
|
Ulrich Schade
|
Michaela Geierhos
Zorros at CheckThat!-2022: Ensemble Model for Identifying Relevant Claims in Tweets
Nicu Buliga
|
Madalina Raschip
NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5
Mingzhe Du
|
Sujatha Das Gollapalli
|
See-Kiong Ng
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
Fraunhofer SIT at CheckThat!-2022: Ensemble Similarity Estimation for Finding Previously Fact-Checked Claims
Raphael Antonius Frick
|
Inna Vogel
Fraunhofer SIT at CheckThat!-2022: Semi-Supervised Ensemble Classification for Detecting Check-Worthy Tweets
Raphael Antonius Frick
|
Inna Vogel
|
Isabella Nunes Grieser
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
RUB-DFL at CheckThat!-2022: Transformer Models and Linguistic Features for Identifying Relevant Claims
Zehra Melce Hüsünbeyi
|
Oliver Deck
|
Tatjana Scheffler
VTU_BGM at Check That!-2022: An Autoregressive Encoding Model for Detecting Check-worthy Claims
Sanjana Kavatagi
|
Rashmi Rachh
|
Madhura Mulimani
Text_Minor at CheckThat!-2022: Fake News Article Detection Using RoBERT
Sujit Kumar
|
Gaurav Kumar
|
Sanasam Ranbir Singh
BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval
David La Barbera
|
Kevin Roitero
|
Joel Mackenzie
|
Damiano Spina
|
Gianluca Demartini
|
Stefano Mizzaro
COURAGE at CheckThat!-2022: Harmful Tweet Detection using Graph Neural Networks and ELECTRA
Francesco Lomonaco
|
Gregor Donabauer
|
Marco Siino
FoSIL at CheckThat!-2022: Using Human Behaviour-Based Optimization for Text Classification
Andy Ludwig
|
Jenny Felser
|
Jian Xi
|
Dirk Labudde
|
Michael Spranger
NLPIR-UNED at CheckThat!-2022: Ensemble of Classifiers for Fake News Detection
Juan R. Martinez-Rico
|
Juan Martínez-Romo
|
Lourdes Araujo
CoulterOzler at CheckThat!-2022: Detecting fake news with transformers
Kadir Bulut Özler
|
Riah Coulter
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
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Jair Neri-Chávez
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
NITK-IT_NLP at CheckThat!-2022: Window based approach for Fake News Detection using transformers
Hariharan RamakrishnaIyer LekshmiAmmal
|
Anand Kumar Madasamy
AI Rational at CheckThat!-2022: Using transformer models for tweet classification
Aleksandar Savchev
AIT_FHSTP at CheckThat!-2022: Cross-Lingual Fake News Detection with a Large Pre-Trained Transformer
Mina Schütz
|
Jaqueline Böck
|
Medina Andresel
|
Armin Kirchknopf
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Daria Liakhovets
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Djordje Slijepcevic
|
Alexander Schindler
RIET Lab at CheckThat!-2022: Improving Decoder based Re-ranking for Claim Matching
Michael Shliselberg
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Shiri Dori-Hacohen
Asatya at CheckThat!-2022: Multimodal BERT for Identifying Claims in Tweets
Manan Suri
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Prajeet Katari
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Saumay Dudeja
iCompass at CLEF2022 CheckThat! Lab: Combining Deep Language Models for Fake News Detection
Bilel Taboubi
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Mohamed Aziz Ben Nessir
|
Hatem Haddad
iCompass at CheckThat!-2022: ARBERT and AraBERT for Arabic Checkworthy Tweet Identification
Bilel Taboubi
|
Mohamed Aziz Ben Nessir
|
Hatem Haddad
Z-Index at CheckThat! Lab 2022: Check-Worthiness Identification on Tweet Text
Prerona Tarannum
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Md. Arid Hasan
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Firoj Alam
|
Sheak Rashed Haider Noori
ARC-NLP at CheckThat!-2022: Contradiction for Harmful Tweet Detection
Cagri Toraman
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Oguzhan Ozcelik
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Furkan Sahinuç
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Umitcan Sahin
ur-iw-hnt at CheckThat!-2022: Cross-lingual Text Summarization for Fake News Detection
Hoai Nam Tran
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Udo Kruschwitz
Awakened at CheckThat!-2022: Fake News Detection using BiLSTM and Sentence Transformer
Ciprian-Octavian Truica
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Elena Simona Apostol
|
Adrian Paschke
Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents
Yuan Li
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Biaoyan Fang
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Jiayuan He
|
Hiyori Yoshikawa
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Saber A. Akhondi
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Christian Druckenbrodt
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Camilo Thorne
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Zubair Afzal
|
Zenan Zhai
|
Kojiro Machi
|
Masaharu Yoshioka
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Youngrok Jang
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Hosung Song
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Junho Lee
|
Gyeonghun Kim
|
Yireun Kim
|
Stanley Jungkyu Choi
|
Honglak Lee
|
Kyunghoon Bae
|
Darshini Mahendran
|
Christina Tang
|
Bridget T. McInnes
|
Timothy Baldwin
|
Karin Verspoor
Context aware Named Entity Recognition and Relation Extraction with Domain-specific language model
Youngrok Jang
|
Hosung Song
|
Junho Lee
|
Gyeonghun Kim
|
Yireun Kim
|
Stanley Jungkyu Choi
|
Honglak Lee
|
Kyunghoon Bae
HUKB at ChEMU 2022 Task 1: Expression-Level Information Extraction
Kojiro Machi
|
Masaharu Yoshioka
NLPatVCU: CLEF 2022 ChEMU Shared Task System Description
Darshini Mahendran
|
Christina Tang
|
Bridget T. McInnes
Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview)
Javier Parapar
|
Patricia Martín-Rodilla
|
David E. Losada
|
Fabio Crestani
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
UNED-MED at eRisk 2022: depression detection with TF-IDF, linguistic features and Embeddings
Elena Campillo Ageitos
|
Juan Martínez-Romo
|
Lourdes Araujo
Early detection of depression using BERT and DeBERTa
Sreegeethi Devaguptam
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Thanmai Kogatam
|
Nishka Kotian
|
Anand Kumar M
CLEF eRisk 2022: Detecting Early Signs of Pathological Gambling using ML and DL models with dataset chunking
Tudor-Andrei Dumitrascu
UNED-NLP at eRisk 2022: Analyzing gambling disorders in Social Media using Approximate Nearest Neighbors
Hermenegildo Fabregat
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Andrés Duque
|
Lourdes Araujo
|
Juan Martínez-Romo
Early risk detection of mental illnesses using various types of textual features
Rodrigo Ferreira
|
Alina Trifan
|
José Luís Oliveira
Sunday Rockers at eRisk 2022: Early Detection of Depression
Raluca-Andreea Gînga
|
Andrei-Alexandru Manea
|
Bogdan-Mihai Dobre
Measuring the Severity of the Signs of Eating Disorders Using Similarity-Based Models
Seyed Habib Hosseini Saravani
|
Lancelot Normand
|
Diego Maupomé
|
Fanny Rancourt
|
Thomas Soulas
|
Sara Besharati
|
Anaelle Normand
|
Sébastien Mosser
|
Marie-Jean Meurs
UNSL at eRisk 2022: Decision policies with history for early classification
Juan Martín Loyola
|
Horacio Thompson
|
Sergio Burdisso
|
Marcelo Errecalde
SINAI at eRisk@CLEF 2022: Approaching Early Detection of Gambling and Eating Disorders with Natural Language Processing
Alba María Mármol-Romero
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Salud María Jiménez Zafra
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Flor Miriam Plaza del Arco
|
M. Dolores Molina-González
|
María Teresa Martín Valdivia
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Arturo Montejo-Ráez
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
ZHAW at eRisk 2022: Predicting Signs of Pathological Gambling - GloVe for Snowy Days
Samuel Stalder
|
Erman Zankov
LauSAn at eRisk 2022: Simply and Effectively Optimizing Text Classification for Early Detection
Andreas Säuberli
|
Sooyeon Cho
|
Laura Stahlhut
Early detection of depression with linear models using hand-crafted and contextual features
Ilija Tavchioski
|
Blaz Skrlj
|
Senja Pollak
|
Boshko Koloski
CYUT at eRisk 2022: Early Detection of Depression Based-on Concatenating Representation of Multiple Hidden Layers of RoBERTa Model
Shih-Hung Wu
|
Zhao-Jun Qiu
TUA1 at eRisk 2022: Exploring Affective Memories for Early Detection of Depression
Xin Kang
|
Rongyu Dou
|
Haitao Yu
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
Knowledge-based Contexts for Historical Named Entity Recognition & Linking
Emanuela Boros
|
Carlos-Emiliano González-Gallardo
|
Edward Giamphy
|
Ahmed Hamdi
|
José G. Moreno
|
Antoine Doucet
Entity Linking in Multilingual Newspapers and Classical Commentaries with BERT
Kai Labusch
|
Clemens Neudecker
Exploring Transformers for Multilingual Historical Named Entity Recognition
Anja Ryser
|
Quynh-Anh Nguyen
|
Niclas Bodenmann
|
Shih-Yun Chen
hmBERT: Historical Multilingual Language Models for Named Entity Recognition
Stefan Schweter
|
Luisa März
|
Katharina Schmid
|
Erion Çano
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge
Alessandro Guazzo
|
Isotta Trescato
|
Enrico Longato
|
Enidia Hazizaj
|
Dennis Dosso
|
Guglielmo Faggioli
|
Giorgio Maria Di Nunzio
|
Gianmaria Silvello
|
Martina Vettoretti
|
Erica Tavazzi
|
Chiara Roversi
|
Piero Fariselli
|
Sara C. Madeira
|
Mamede de Carvalho
|
Marta Gromicho
|
Adriano Chiò
|
Umberto Manera
|
Arianna Dagliati
|
Giovanni Birolo
|
Helena Aidos
|
Barbara Di Camillo
|
Nicola Ferro
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events
Ruben Branco
|
Diogo F. Soares
|
Andreia S. Martins
|
Eleonora Auletta
|
Eduardo N. Castanho
|
Susana Nunes
|
Filipa Serrano
|
Rita Torres Sousa
|
Catia Pesquita
|
Sara C. Madeira
|
Helena Aidos
Evaluation of XAI on ALS 6-months mortality prediction
Tommaso Mario Buonocore
|
Giovanna Nicora
|
Arianna Dagliati
|
Enea Parimbelli
Predicting the Risk of & Time to Impairment for ALS patients
Aidan Mannion
|
Thierry Chevalier
|
Didier Schwab
|
Lorraine Goeuriot
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity
Susana Nunes
|
Rita Torres Sousa
|
Filipa Serrano
|
Ruben Branco
|
Diogo F. Soares
|
Andreia S. Martins
|
Eleonora Auletta
|
Eduardo N. Castanho
|
Sara C. Madeira
|
Helena Aidos
|
Catia Pesquita
Multi-Event Survival Prediction for Amyotrophic Lateral Sclerosis
Corrado Pancotti
|
Giovanni Birolo
|
Tiziana Sanavia
|
Cesare Rollo
|
Piero Fariselli
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression
Isotta Trescato
|
Alessandro Guazzo
|
Enrico Longato
|
Enidia Hazizaj
|
Chiara Roversi
|
Erica Tavazzi
|
Martina Vettoretti
|
Barbara Di Camillo
Overview of ImageCLEFmedical 2022 - Caption Prediction and Concept Detection
Johannes Rückert
|
Asma Ben Abacha
|
Alba Garcia Seco de Herrera
|
Louise Bloch
|
Raphael Brüngel
|
Ahmad Idrissi-Yaghir
|
Henning Schäfer
|
Henning Müller
|
Christoph M. Friedrich
Overview of ImageCLEFtuberculosis 2022 - CT-based Cavern Detection and Report
Serge Kozlovski
|
Yashin Dicente Cid
|
Vassili Kovalev
|
Henning Müller
ImageCLEFcoral task: Coral reef image annotation and localisation
Jon Chamberlain
|
Alba García Seco de Herrera
|
Antonio Campello
|
Adrian F. Clark
Overview of the ImageCLEF 2022 Aware Task
Adrian Popescu
|
Jérôme Deshayes-Chossart
|
Hugo Schindler
|
Bogdan Ionescu
Overview of ImageCLEFfusion 2022 Task - Ensembling Methods for Media Interestingness Prediction and Result Diversification
Liviu-Daniel Stefan
|
Mihai Gabriel Constantin
|
Mihai Dogariu
|
Bogdan Ionescu
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
AUEB NLP Group at ImageCLEFmed Caption 2022
Foivos Charalampakos
|
Giorgos Zachariadis
|
John Pavlopoulos
|
Vasilis Karatzas
|
Christoforos Trakas
|
Ion Androutsopoulos
AIMultimediaLab at ImageCLEFfusion 2022: DeepFusion Methods for Ensembling in Diverse Scenarios
Mihai Gabriel Constantin
|
Liviu-Daniel Stefan
|
Mihai Dogariu
|
Bogdan Ionescu
CMRE-UoG team at ImageCLEFmedical Caption 2022: Concept Detection and Image Captioning
Francesco Dalla Serra
|
Fani Deligianni
|
Jeffrey Dalton
|
Alison Q. O'Neil
ImageCLEFmedical Caption Task, Concept Detection, Finding Duplicates, SDVA-UCSD Approach
Amilcare Gentili
Dual Convolutional Neural Networks and Regression model based Coral Reef Annotation and Localization
Rohit Raj Gunti
|
Abebe Rorissa
IUST_NLPLAB at ImageCLEFmedical Caption Tasks 2022
Malihe Hajihosseini
|
Yasaman Lotfollahi
|
Melika Nobakhtian
|
Mohammad Mahdi Javid
|
Fateme Omidi
|
Sauleh Eetemadi
A Fusion Approach for Web Search Result Diversification using Machine Learning Algorithms
Lekshmi Kalinathan
|
Prabavathy Balasundaram
|
Yogesh Munees E
|
Siddharth S
|
Shrijith Mr
|
Shrikeshavinee Ramachandran
|
Shruti Sriram
|
Ramdhanush Venkatakrishnan
Monitoring Coral Reefs Using Faster R-CNN
Felix Kerlin
|
Kirill Bogomasov
|
Stefan Conrad
CSIRO at ImageCLEFmedical Caption 2022
Léo Lebrat
|
Aaron Nicolson
|
Rodrigo Santa Cruz
|
Gregg Belous
|
Bevan Koopman
|
Jason Dowling
Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report
Xing Lu
|
An Yan
|
Eric Y. Chang
|
Chun-Nan Hsu
|
Julian J. McAuley
|
Jiang Du
|
Amilcare Gentili
Polimi-ImageClef Group at ImageCLEFmedical Caption task 2022
Seyyed Ali Mir Ghayyomnia
|
Kai de Gast
|
Mark J. Carman
NeuralDynamicsLab at ImageCLEFmedical 2022
Georgios Moschovis
|
Erik Fransén
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
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
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
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
SSN MLRG at ImageCLEF 2022 Tuberculosis: Caverns Report using 3D CNN and Uniformizing Techniques
Dheepak S
|
Kavitha Srinivasan
|
Raghuraman G
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness
Maria Shoukat
|
Khubaib Ahmad
|
Naina Said
|
Nasir Ahmad
|
Mohammed Hasanuzzaman
|
Kashif Ahmad
Automated Classification of Lung Tuberculosis Using 3D Deep Convolutional Neural Networks
Sushaanth Srinivasan
|
Sharvesh Shankar
|
Nitheesh Kumar N
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Sabarivasan Velayutham
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Thejas N
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Vikash Anand N
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Lekshmi Kalinathan
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Prabavathy Balasundaram
Ensembled Approach for Web Search Result Diversification Using Neural Networks
Shreya Sriram
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Madhuri Mahalingam
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Sarah Aymen Naseer
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Shajith Hameed
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Rahul Rajagopalan
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Sai Shashaank R
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Lekshmi Kalinathan
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Prabavathy Balasundaram
Multi Regressor Based User Rating Predictor for ImageCLEF Aware 2022
Aarthi Suresh Kumar
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Anirudh Anand
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Jeet Golecha
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Karthik Raja Anandan
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Bhuvana Jayaraman
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Mirnalinee T. T
Kdelab at ImageCLEFmedical 2022 Caption Prediction Task
Riku Tsuneda
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Tetsuya Asakawa
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Kazuki Shimizu
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Takuyuki Komoda
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Masaki Aono
Kdelab at ImageCLEFmedical 2022: Medical Concept Detection with Image Retrieval and Code Ensemble
Riku Tsuneda
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Tetsuya Asakawa
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Kazuki Shimizu
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Takuyuki Komoda
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Masaki Aono
ImageSem Group at ImageCLEFmedical Caption 2022 task: Generating Medical Image Descriptions based on Vision-Language Pre-training
Xuwen Wang
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Jiao Li
CSIRO at the ImageCLEFmedical 2022 Tuberculosis Caverns Detection Challenge: A 2D and 3D Deep Learning Detection Network Approach
Bowen Xin
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Hang Min
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Ashley G. Gillman
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Bevan Koopman
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Jason Dowling
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Aaron Nicolson
Overview of the CLEF 2022 JOKER Task 1: Classify and Explain Instances of Wordplay
Liana Ermakova
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Fabio Regattin
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Tristan Miller
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Anne-Gwenn Bosser
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Sílvia Araújo
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Claudine Borg
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Gaëlle Le Corre
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Julien Boccou
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Albin Digue
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Aurianne Damoy
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Paul Campen
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Orlane Puchalski
Overview of the CLEF 2022 JOKER Task 2: Translate Wordplay in Named Entities
Liana Ermakova
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Tristan Miller
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Julien Boccou
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Albin Digue
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Aurianne Damoy
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Paul Campen
Overview of the CLEF 2022 JOKER Task 3: Pun Translation from English into French
Liana Ermakova
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Fabio Regattin
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Tristan Miller
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Anne-Gwenn Bosser
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Claudine Borg
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Benoît Jeanjean
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Élise Mathurin
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Gaëlle Le Corre
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Radia Hannachi
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Sílvia Araújo
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Julien Boccou
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Albin Digue
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Aurianne Damoy
Wordplay location and interpretation with deep learning methods
Hakima Arroubat
Using 'punning schemes' as a template for translating wordplay
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Poetic or Humorous Text Generation: Jam event at PFIA2022
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Liana Ermakova
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Florence Dupin de Saint-Cyr
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Pierre De Loor
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Victor Charpennay
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Nicolas Pépin-Hermann
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Benoît Alcaraz
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Jean-Victor Autran
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Alexandre Devillers
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Juliette Grosset
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Aymeric Hénard
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Florian Marchal-Bornert
A history of classification and JokeR's reach
Paul Campen
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Albin Digue
Translation strategies: adaptation and equivalence - Joker contest
Aurianne Damoy
Translating, transcribing, transmitting and transcending a pun: why playing with words is far from being punless/pointless
Charlotte Daniel
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Noémie Vandenborre
A translation-oriented categorisation of wordplays
Michel Delarche
FAST-MT Participation for the JOKER CLEF-2022 Automatic Pun and Humour Translation Tasks
Farhan Dhanani
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Muhammad Rafi
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Muhammad Atif Tahir
Automatic translation of wordplay
Albin Digue
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Paul Campen
Using machine learning to classify and interpret wordplay
Aygyul Epimakhova
Humorous Wordplay Generation in French
Loïc Glemarec
|
Anne-Gwenn Bosser
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Julien Boccou
|
Liana Ermakova
Use of SimpleT5 for the CLEF workshop JokeR: Automatic Pun and Humor Translation
Loïc Glemarec
LJGG @ CLEF JOKER Task 3: An improved solution joining with dataset from task 1
Leopoldo Jesús Gutiérrez Galeano
Assessing Wordplay-Pun classification from JOKER dataset with pretrained BERT humorous models
Victor Manuel Palma-Preciado
|
Grigori Sidorov
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Carolina Palma Preciado
Automatic Translation and Wordplay: An Amateur's (Playful) Thoughts
Fabio Regattin
Greenpeace Memes for Communicating Climate Change
Yuliya Samofalova
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Andrea Catellani
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Louise-Amélie Cougnon
How good can an automatic translation of Pokémon names be?
Léa Talec-Bernard
A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify
Andrea Esuli
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Alejandro Moreo
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Fabrizio Sebastiani
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Gianluca Sperduti
UniOviedo(Team2) at LeQua 2022: Comparison of traditional quantifiers and a new method based on Energy Distance
Juan José del Coz
UniPadova @ LeQua 2022: A Preliminary Study of a BM25 Approach to Quantification
Giorgio Maria Di Nunzio
UniOviedo(Team1) at LeQua 2022: Sample-based quantification using deep learning
Pablo González
UniLeiden at LeQua 2022: The first step in understanding the behaviour of the median sweep quantifier using continuous sweep
Kevin Kloos
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Quinten A. Meertens
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Julian D. Karch
KULeuven at LeQua 2022: Model Calibration in Quantification Learning
Teodora Popordanoska
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Matthew B. Blaschko
DortmundAI at LeQua 2022: Regularized SLD
Martin Senz
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Mirko Bunse
Overview of PlantCLEF 2022: Image-based plant identification at global scale
Hervé Goëau
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Pierre Bonnet
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Alexis Joly
Overview of BirdCLEF 2022: Endangered bird species recognition in soundscape recordings
Stefan Kahl
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Amanda Navine
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Tom Denton
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Holger Klinck
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Patrick Hart
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Hervé Glotin
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Hervé Goëau
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Willem-Pier Vellinga
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Robert Planqué
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Alexis Joly
Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data
Titouan Lorieul
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Elijah Cole
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Benjamin Deneu
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Maximilien Servajean
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Pierre Bonnet
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Alexis Joly
Overview of SnakeCLEF 2022: Automated Snake Species Identification on a Global Scale
Lukás Picek
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Marek Hrúz
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Andrew M. Durso
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Isabelle Bolon
Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem
Lukás Picek
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Milan Sulc
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Jirí Matas
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Jacob Heilmann-Clausen
Combination of Object Detection, Geospatial Data, and Feature Concatenation for Snake Species Identification
Louise Bloch
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Jan-Frederick Böckmann
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Benjamin Bracke
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Christoph M. Friedrich
Extreme Automatic Plant Identification Under Constrained Resources
Jose Carranza-Rojas
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Ruben Gonzalez-Villanueva
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Kelvin Jimenez-Morales
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Kevin Quesada-Montero
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Esteban A. Esquivel-Barboza
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Nicole Carvajal-Barboza
A Global-Scale Plant Identification using Deep Learning: NEUON Submission to PlantCLEF 2022
Sophia Chulif
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Sue Han Lee
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Yang Loong Chang
Few-shot Long-Tailed Bird Audio Recognition
Marcos V. Conde
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Ui-Jin Choi
Classification of Fungi Species: A Deep Learning Based Image Feature Extraction and Gradient Boosting Ensemble Approach
Karthik Desingu
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Anirudh Bhaskar
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Mirunalini Palaniappan
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Eeswara Anvesh Chodisetty
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Haricharan Bharathi
Does Closed-Set Training Generalize to Open-Set Recognition?
Fan Gao
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Zining Chen
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Weiqiu Wang
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Yinan Song
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Fei Su
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Zhicheng Zhao
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Hong Chen
Plant and Animal Species Prediction at Certain Locations with Convolutional Neural Networks
Juntao Jiang
Classification of Plant Species Using AlexNet Architecture
Pravinkrishnan K
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Naren Sivakumar
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Ainsely Jebaraj
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C. Padma Pooja
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Supraja Sridhar
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Prabavathy Balasundaram
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Lekshmi Kalinathan
Plant Species Identification using Probability Tree Approach of Deep Learning Models
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Krishnakumar Divyasri
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Sella Veluswami Jansi Rani
Block Label Swap for Species Distribution Modelling
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Devis Tuia
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Priya Khandelwal
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Rhythm Garg
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Alexis Joly
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Titouan Lorieul
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Maximilien Servajean
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Pierre Bonnet
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Yuuichiroh Uematsu
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Jiangyue Yu
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Bryan Cheungvivatpant
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Dakota Dudley
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Aniketh Swain
Image-based plant identification with taxonomy aware architecture
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Sze Jue Yang
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Kam Woh Ng
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Chee Seng Chan
Deep Learning and Gradient Boosting Ensembles for Classification of Snake Species
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Karthik Desingu
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Haricharan Bharathi
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Eeswara Anvesh Chodisetty
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Anirudh Bhaskar
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Danny Kowerko
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Xuhao Sun
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Zijian Zhu
Convolution Neural Network Fine-tuning for Plant and Animal Species Distribution Modelling
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Sal Elkafrawy
Transformer-based Fine-Grained Fungi Classification in an Open-Set Scenario
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Jürgen Beyerer
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Yumeng Ruan
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Yifei Hu
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Yue Zhang
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Yuke Zhu
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Sheng Guo
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Bing Han
Transfer Learning with Self-Supervised Vision Transformer for Large-Scale Plant Identification
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Sook Yoon
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Yongchae Jeong
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Jaesu Lee
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Dong Sun Park
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Xiang Li
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Renjie Song
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Kexin Zhu
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Gang Li
Efficient Model Integration for Snake Classification
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Hao Chang
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Zhongpeng Cai
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Guochen Xie
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Liwen Zhang
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Keda Lu
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Shenshen Du
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Zhihong Wei
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Zepeng Liu
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Fang Gao
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Feng Shuang
Bag of Tricks and a Strong Baseline for FGVC
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Hao Chang
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Keda Lu
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Guochen Xie
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Liwen Zhang
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Zhongpeng Cai
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Shenshen Du
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Zhihong Wei
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Zepeng Liu
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Fang Gao
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Feng Shuang
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022
Cheng Zou
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Furong Xu
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Meng Wang
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Wen Li
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Yuan Cheng
Overview of the Authorship Verification Task at PAN 2022
Efstathios Stamatatos
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Mike Kestemont
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Krzysztof Kredens
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Piotr Pezik
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Annina Heini
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Janek Bevendorff
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Benno Stein
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Martin Potthast
Profiling Irony and Stereotype Spreaders on Twitter (IROSTEREO). Overview for PAN at CLEF 2022
Reynier Ortega Bueno
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Berta Chulvi
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Francisco Rangel
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Paolo Rosso
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Elisabetta Fersini
Overview of the Style Change Detection Task at PAN 2022
Eva Zangerle
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Maximilian Mayerl
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Martin Potthast
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Benno Stein
Ensemble-Based Clustering for Writing Style Change Detection in Multi-Authored Textual Documents
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Mohamed Menai
Style Change Detection using Discourse Markers
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Hasan Algafri
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Naif Alqahtani
User profiling: voting scheme
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Daniel Castro Castro
Profiling Irony and Stereotype Spreaders with Encoding Dependency Information using Graph Convolutional Network
Hamed Babaei Giglou
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Mostafa Rahgouy
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Ali Rahmati
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Taher Rahgooy
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Cheryl D. Seals
CIC@PAN: Simplifying Irony Profiling using Twitter Data
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Fazlourrahman Balouchzahi
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Grigori Sidorov
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Alexander F. Gelbukh
A Multi-Model Voting Ensemble Classifier based on BERT for Profiling Irony and Stereotype Spreaders on Twitter
Haojie Cao
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Zhongyuan Han
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Zhenwei Mo
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Zengyao Li
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Ziwei Xiao
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Zijian Li
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Leilei Kong
A content spectral-based analysis for authorship verification
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Helena Gómez-Adorno
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Ivan López-Arévalo
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Edwin Aldana-Bobadilla
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Karla Salas-Jimenez
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Jorge Cortes-Lopez
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Daniele Croce
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Domenico Garlisi
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Marco Siino
Irony and Stereotype Spreading Author Profiling on Twitter using Machine Learning: A BERT-TFIDF based Approach
Amit Das
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Nilanjana Raychawdhary
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Gerry V. Dozier
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Cheryl D. Seals
UMUTeam at IROSTEREO: Profiling Irony and Stereotype spreaders on Twitter combining Linguistic Features with Transformers
José Antonio García-Díaz
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Miguel Ángel Rodríguez-García
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Francisco García-Sánchez
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Rafael Valencia-García
An Unorthodox Approach for Style Change Detection
Lukas Graner
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Paul Ranly
BERT Sentence Embeddings in different Machine Learning and Deep Learning Models for Author Profiling applied to Irony and Stereotype Spreaders on Twitter
Claudia Gómez
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Daniel Parres
Profiling Irony Speech Spreaders on Social Networks Using Deep Cleaning and BERT
Leila Hazrati
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Alireza Sokhandan
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Leili Farzinvash
Exploiting Affective-based Information for Profiling Ironic Users on Twitter
Delia Irazú Hernández Farías
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Manuel Montes-y-Gómez
Authorship verification Based On Fully Interacted Text Segments
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Leilei Kong
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Zeyang Peng
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Yihui Ye
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Zengyao Li
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Xinyin Jiang
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Zhongyuan Han
Profiling Irony and Stereotype Spreaders with Language Models and Bayes' Theorem
Xinting Huang
UniNE at PAN-CLEF 2022: Profiling Irony and Stereotype Spreaders on Twitter
Catherine Ikae
Lexicon-Based Profiling of Irony and Stereotype Spreaders
Hyewon Jang
Style Change Detection: Method Based On Pre-trained Model And Similarity Recognition
Xinyin Jiang
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Haoliang Qi
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Zhijie Zhang
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Mingjie Huang
Different Encoding Approaches for Authorship Verification
Stefanos Konstantinou
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Jinqiao Li
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Angelos Zinonos
Graph-Based Profile Condensation for Users Profiling
Roberto Labadie Tamayo
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Daniel Castro-Castro
Style Change Detection Based On Bert And Conv1d
Qidi Lao
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Li Ma
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Wenyin Yang
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Zexian Yang
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Dong Yuan
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Zhenlin Tan
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Langzhang Liang
Application of BERT in author verification task
Ziwang Lei
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Haoliang Qi
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Han Y
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Zeyang Peng
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Mingjie Huang
Ensemble Pre-trained Transformer Models for Writing Style Change Detection
Tzu-Mi Lin
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Chao-Yi Chen
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Yu-Wen Tzeng
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Lung-Hao Lee
A BERT-based model for Profiling Irony and Stereotype Spreaders on Twitter
Wenbin Lin
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Zhongyuan Han
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Jinxi Zhang
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Zengyao Li
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Guiyuan Cao
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Jianhong Yu
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Leilei Kong
Profiling Irony and Stereotype Spreaders on Twitter Using TF-IDF and Neural Network
Haolong Ma
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Dingjia Li
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Yutong Sun
Improving Irony and Stereotype Spreaders Detection using Data Augmentation and Convolutional Neural Network
Stefano Mangione
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Marco Siino
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Giovanni Garbo
Graph-Based Siamese Network for Authorship Verification
Jorge Alfonso Martinez Galicia
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Daniel Embarcadero Ruiz
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Alejandro Ríos Orduña
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Helena Gómez-Adorno
Text-to-Text Transformer in Authorship Verification Via Stylistic and Semantical Analysis
Maryam Najafi
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Ehsan Tavan
Use pre-trained models and multi-classifier voting methods to identify the ironic authors on Twitter
Jian Qin
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Leilei Kong
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Zhaoqian Huang
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Jialin Huang
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Yansheng Guo
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Mingjie Huang
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Zeyang Peng
Irony &Stereotype Spreader Detection using Random Forests
Tiago Filipe Nunes Ribeiro
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Yana Nikolaeva Nikolova
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Kaja Seraphina Elisa Hano
Three Style Similarity: sentence-embedding, auxiliary words, punctuation
Carlos Alberto Rodríguez-Losada
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Daniel Castro-Castro
Isolated Profile Style Representation
Carlos Alberto Rodríguez-Losada
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Daniel Castro-Castro
Profiling Irony and Stereotype Spreaders on Twitter: PAN Shared Task (IROSTEREO) 2022
Alvaro Rodríguez Sánchez
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Martín Barroso Ordóñez
T100: A modern classic ensemble to profile irony and stereotype spreaders
Marco Siino
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Ilenia Tinnirello
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Marco La Cascia
Identifying Author Profiles Containing Irony or Spreading Stereotypes with SBERT and Emojis
Narjes Tahaei
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Harsh Verma
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Parsa Bagherzadeh
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Farhood Farahnak
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Nadia Sheikh
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Sabine Bergler
Profiling irony and stereotype spreaders on Twitter based on term frequency in tweets
Dhaval Taunk
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Sagar Joshi
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Vasudeva Varma
Identifying Ironic Content Spreaders on Twitter using Psychometrics, Contextual and Ironic Features with Gradient Boosting Classifier
Ehsan Tavan
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Maryam Najafi
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Reza Moradi
Notebook for PAN at CLEF 2022: Profiling Irony and Stereotype Spreaders on Twitter
Bin Wang
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Hui Ning
Profiling Irony and Stereotype Spreaders on Twitter with BERT
Yifan Xu
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Hui Ning
A Intelligent Detection Method for Irony and Stereotype Based on Hybird Neural Networks
Zexian Yang
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Li Ma
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Wenyin Yang
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Qidi Lao
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Zhenlin Tan
Authorship Verification Using Convolutional Neural Network
Yihui Ye
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Han Y
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Zeyang Peng
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Mingjie Huang
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Leilei Kong
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Zhongyuan Han
BERT-based ironic authors profiling
Wentao Yu
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Benedikt T. Boenninghoff
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Dorothea Kolossa
Analysis of Irony and Stereotype Spreaders Based On Convolutional Neural Networks
Dong Yuan
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Wenyin Yang
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Li Ma
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Zhenlin Tan
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Qidi Lao
An Ensemble Machine Learning Classifier for Profiling Irony and Stereotype Spreaders on Twitter
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Zhongyuan Han
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Mingjie Huang
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Leilei Kong
Irony and Stereotype Spreaders Detection using BERT-large and AutoGulon
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Hui Ning
Style Change Detection based on Prompt
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Zhongyuan Han
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Leilei Kong
Style Change Detection Based On Bi-LSTM And Bert
Jiayang Zi
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Ling Zhou
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Zhengyao Liu
Overview of the CLEF 2022 SimpleText Task 1: Passage Selection for a Simplified Summary
Eric SanJuan
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Stéphane Huet
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Jaap Kamps
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Liana Ermakova
Overview of the CLEF 2022 SimpleText Task 2: Complexity Spotting in Scientific Abstracts
Liana Ermakova
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Irina Ovchinnikova
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Jaap Kamps
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Diana Nurbakova
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Sílvia Araújo
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Radia Hannachi
Overview of the CLEF 2022 SimpleText Task 3: Query Biased Simplification of Scientific Texts
Liana Ermakova
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Irina Ovchinnikova
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Jaap Kamps
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Diana Nurbakova
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Sílvia Araújo
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Radia Hannachi
Searching for explanation of difficult scientific terms
Majda Ennaciri
Assembly Models for SimpleText Task 2: Results from Wuhan University Research Group
Jianfei Huang
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Jin Mao
Controllable Sentence Simplification Using Transfer Learning
Antonio Menta Garuz
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Ana García-Serrano
Using a Pre-trained SimpleT5 Model for Text Simplification in a Limited Corpus
José Monteiro
|
Micaela Aguiar
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Sílvia Araújo
University of Amsterdam at the CLEF 2022 SimpleText Track
Femke Mostert
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Ashmita Sampatsing
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Mink Spronk
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David Rau
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Jaap Kamps
HULAT-UC3M at SimpleText@CLEF-2022: Scientific text simplification using BART
Adrián Rubio
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Paloma Martínez
NLP-IISERB@Simpletext2022: To Explore the Performance of BM25 and Transformer Based Frameworks for Automatic Simplification of Scientific Texts
Sourav Saha
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Dwaipayan Roy
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B. Yuvaraj Goud
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Chethan S. Reddy
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Tanmay Basu
Is Using an AI to Simplify a Scientific Text Really Worth It?
Léa Talec-Bernard
CYUT Team2 SimpleText Shared Task Report in CLEF-2022
Shih-Hung Wu
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Hong-Yi Huang
Overview of Touché 2022: Argument Retrieval
Alexander Bondarenko
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Maik Fröbe
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Johannes Kiesel
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Shahbaz Syed
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Timon Gurcke
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Meriem Beloucif
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Alexander Panchenko
|
Chris Biemann
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Benno Stein
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Henning Wachsmuth
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Martin Potthast
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Matthias Hagen
Aldo Nadi at Touché 2022: Argument Retrieval for Comparative Questions
Maria Aba
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Munzer Azra
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Marco Gallo
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Odai Mohammad
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Ivan Piacere
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Giacomo Virginio
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Nicola Ferro
SEUPD@CLEF: Team INTSEG on Argument Retrieval for Controversial Questions
Sepide Bahrami
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Gnana Prakash Goli
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Andrea Pasin
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Neemol Rajkumari
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Mohammad Muzammil Sohail
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Paria Tahan
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Nicola Ferro
SEUPD@CLEF: Team Lgtm on Argument Retrieval for Controversial Questions
Manuel Barusco
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Gabriele Del Fiume
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Riccardo Forzan
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Mario Giovanni Peloso
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Nicola Rizzetto
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Elham Soleymani
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Nicola Ferro
SEUPD@CLEF: Team Gamora on Argument Retrieval for Controversial Questions
Alessandro Benetti
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Michele De Togni
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Giovanni Foti
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Ralton Lacini
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Andrea Matteazzi
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Enrico Sgarbossa
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Nicola Ferro
Aramis at Touché 2022: Argument Detection in Pictures using Machine Learning
Jan Braker
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Lorenz Heinemann
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Tobias Schreieder
Boromir at Touché 2022: Combining Natural Language Processing and Machine Learning Techniques for Image Retrieval for Arguments
Thilo Brummerloh
|
Miriam Louise Carnot
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Shirin Lange
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Gregor Pfänder
SEUPD@CLEF: Team 6musk on Argument Retrieval for Controversial Questions by Using Pairs Selection and Query Expansion
Lorenzo Cappellotto
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Matteo Lando
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Daniel Lupu
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Marco Mariotto
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Riccardo Rosalen
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Nicola Ferro
Retrieving Comparative Arguments using Deep Language Models
Viktoria Chekalina
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Alexander Panchenko
SEUPD@CLEF: Team hextech on Argument Retrieval for Comparative Questions. The importance of adjectives in documents quality evaluation
Alessandro Chimetto
|
Davide Peressoni
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Enrico Sabbatini
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Giovanni Tommasin
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Marco Varotto
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Alessio Zanardelli
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Nicola Ferro
Team Bruce Banner at Touché 2022: Argument Retrieval for Controversial Questions
Bernardo C. Moreira
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Henrique Lopes Cardoso
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Bruno Martins
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Fábio Goularte
Stacked Model based Argument Extraction and Stance Detection using Embedded LSTM model
Pavani Rajula
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Chia-Chien Hung
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Simone Paolo Ponzetto
LEVIRANK: Limited Query Expansion with Voting Integration for Document Retrieval and Ranking
Ashish Rana
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Pujit Golchha
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Roni Juntunen
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Andreea Coaja
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Ahmed Elzamarany
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Chia-Chien Hung
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Simone Paolo Ponzetto
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