CEUR-WS.org/Vol-3497 - Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum (CLEF)

CEUR-WS.org/Vol-3497 - Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum (CLEF)
Vol-3497
urn:nbn:de:0074-3497-0
Copyright © 2023 for
the individual papers by the papers' authors.
Copyright ©
2023
for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
CC BY 4.0
CLEF-WN 2023
CLEF 2023 Working Notes
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023)
Thessaloniki, Greece, September 18th to 21st, 2023
Edited by
Mohammad Aliannejadi
Guglielmo Faggioli
**
Nicola Ferro
**
Michalis Vlachos
***
University of Amsterdam
, The Netherlands
**
University of Padua
, Italy
***
University of Lausanne
, Switzerland
Table of Contents
Preface
I-X
Summary:
This volume contains the
265
working notes that were peer-reviewed and accepted for publication at CLEF 2023. Out of these, 33 are overviews of the labs and tasks, while 232 are the participants' working notes.
Large-scale biomedical semantic indexing and question answering (BioASQ)
Overview of MedProcNER Task on Medical Procedure Detection and Entity Linking at BioASQ
2023
1-18
Salvador Lima-López
Eulália Farré-Maduell
Luis Gascó
Anastasios Nentidis
Anastasia Krithara
Georgios Katsimpras
Georgios Paliouras
Martin Krallinger
Overview of BioASQ Tasks 11b and Synergy11 in CLEF2023
19-26
Anastasios Nentidis
Georgios Katsimpras
Anastasia Krithara
Georgios Paliouras
Improving Biomedical Question Answering with Sentence-based Ranking at BioASQ-11b
27-36
Anna Aksenova
Tsvetan Asamov
Petar Ivanov
Svetla Boytcheva
BIT.UA at BioASQ 11B: Two-Stage IR with Synthetic Training and Zero-Shot Answer Generation
37-59
Tiago Almeida
Richard A. A. Jonker
Roshan Poudel
Jorge M. Silva
Sérgio Matos
BIT.UA at MedProcNer: Discovering Medical Procedures in Spanish Using Transformer
Models with MCRF and Augmentation
60-72
Tiago Almeida
Richard A. A. Jonker
Roshan Poudel
Jorge M. Silva
Sérgio Matos
Is ChatGPT a Biomedical Expert?
73-90
Samy Ateia
Udo Kruschwitz
Coming a Long Way with Pre-Trained Transformers and String Matching Techniques: Clinical
Procedure Mention Recognition and Normalization
91-101
Mariia Chizhikova
Jaime Collado-Montañez
Manuel Carlos Díaz-Galiano
L. Alfonso Ureña-López
María Teresa Martín-Valdivia
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of
Domain-Specific Pre-Training
102-113
Dima Galat
Marian-Andrei Rizoiu
NCU-IISR: Prompt Engineering on GPT-4 to Stove Biological Problems in BioASQ 11b Phase
114-121
Chun-Yu Hsueh
Yu Zhang
Yu-Wei Lu
Jen-Chieh Han
Wilailack Meesawad
Richard Tzong-Han Tsai
Leveraging Biomedical Ontologies for Clinical Procedures Recognition in Spanish at
BioASQ MedProcNER
122-131
Petar Ivanov
Anna Aksenova
Tsvetan Asamov
Svetla Boytcheva
Exploring Approaches to Answer Biomedical Questions: From Pre-processing to GPT-4
132-144
Hyunjae Kim
Hyeon Hwang
Chaeeun Lee
Minju Seo
Wonjin Yoon
Jaewoo Kang
BioASQ 11B: Integrating Domain Specific Vocabulary to BERT-based Model for Biomedical
Document Ranking.
145-151
Maël Lesavourey
Gilles Hubert
Semi-supervised training for biomedical question answering
152-158
Dimitra Panou
Martin Reczko
Biomedical Question Answering with Transformer Ensembles
159-167
Raghav R
Jason Rauchwerk
Parth Rajwade
Tanay Gummadi
Eric Nyberg
Teruko Mitamura
Deep Metric Learning for Effective Passage Retrieval in the BioASQ Challenge
168-177
Andrés Rosso-Mateus
León A. Muñoz-Serna
Manuel Montes-Y-Gómez
Fabio A. González
Multi-stage Literature Retrieval System Trained by PubMed Search Logs for Biomedical
Question Answering
178-189
Ashley Shin
Qiao Jin
Zhiyong Lu
Fusion @ BioASQ MedProcNER: Transformer-based Approach for Procedure Recognition and
Linking in Spanish Clinical Text
190-205
Sylvia Vassileva
Georgi Grazhdanski
Svetla Boytcheva
Ivan Koychev
VICOMTECH at MedProcNER 2023: Transformers-based Sequence-labelling and Cross-encoding
for Entity Detection and Normalisation in Spanish Clinical Texts
206-218
Elena Zotova
Aitor García-Pablos
Montse Cuadros
German Rigau
Check-Worthiness, Subjectivity, Political Bias, Factuality, and Authority of News
Articles and Their Sources (CheckThat!)
Overview of the CLEF-2023 CheckThat! Lab Task 1 on Check-Worthiness in Multimodal
and Multigenre Content
219-235
Firoj Alam
Alberto Barrón-Cedeño
Gullal S. Cheema
Gautam Kishore Shahi
Sherzod Hakimov
Maram Hasanain
Chengkai Li
Rubén Míguez
Hamdy Mubarak
Wajdi Zaghouani
Preslav Nakov
Overview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity Detection
236-249
Andrea Galassi
Federico Ruggeri
Alberto Barrón-Cedeño
Firoj Alam
Tommaso Caselli
Mucahid Kutlu
Julia Maria Struß
Francesco Antici
Maram Hasanain
Juliane Köhler
Katerina Korre
Folkert Leistra
Arianna Muti
Melanie Siegel
Mehmet Deniz Türkmen
Michael Wiegand
Wajdi Zaghouani
Overview of the CLEF-2023 CheckThat! Lab Task 3 on Political Bias of News Articles
and News Media
250-259
Giovanni Da San Martino
Firoj Alam
Maram Hasanain
Rabindra Nath Nandi
Dilshod Azizov
Preslav Nakov
Overview of the CLEF-2023 CheckThat! Lab Task 4 on Factuality of Reporting of News
Media
260-268
Preslav Nakov
Firoj Alam
Giovanni Da San Martino
Maram Hasanain
Dilshod Azizov
Rabindra Nath Nandi
Panayotov Panayot
Overview of the CLEF-2023 CheckThat! Lab Task 5 on Authority Finding in Twitter
269-278
Fatima Haouari
Tamer Elsayed
Zien Sheikh Ali
CSECU-DSG at CheckThat! 2023: Transformer-based Fusion Approach for Multimodal and
Multigenre Check-Worthiness
279-288
Abdul Aziz
Md. Akram Hossain
Abu Nowshed Chy
Frank at CheckThat! 2023: Detecting the Political Bias of News Articles and News Media
289-305
Dilshod Azizov
Preslav Nakov
Shangsong Liang
DWReCO at CheckThat! 2023: Enhancing Subjectivity Detection through Style-based Data
Sampling
306-317
Ipek Baris Schlicht
Lynn Khellaf
Defne Altiok
NN at CheckThat! 2023: Subjectivity in News Articles Classification with Transformer
Based Models
318-328
Krishno Dey
Prerona Tarannum
Md. Arid Hasan
Sheak Rashed Haider Noori
Fraunhofer SIT at CheckThat! 2023: Can LLMs Be Used for Data Augmentation & Few-Shot
Classification? Detecting Subjectivity in Text Using ChatGPT
329-336
Raphael Antonius Frick
Fraunhofer SIT at CheckThat! 2023: Enhancing the Detection of Multimodal and Multigenre
Check-Worthiness Using Optical Character Recognition and Model Souping
337-350
Raphael Antonius Frick
Inna Vogel
Jeong-Eun Choi
Thesis Titan at CheckThat! 2023: Language-Specific Fine-tuning of mDeBERTaV3 for Subjectivity Detection
351-359
Folkert Atze Leistra
Tommaso Caselli
CUCPLUS at CheckThat! 2023: Text Combination and Regularized Adversarial Training
for News Media Factuality Evaluation
360-371
Chenxin Li
Ruijin Xue
Chichen Lin
Weijian Fan
Xiao Han
NLPIR-UNED at CheckThat! 2023: Ensemble of Classifiers for Check-Worthiness Estimation
372-382
Juan R. Martinez-Rico
Lourdes Araujo
Juan Martinez-Romo
DSHacker at CheckThat! 2023: Check-Worthiness in Multigenre and Multilingual Content
With GPT-3.5 Data Augmentation
383-393
Arkadiusz Modzelewski
Witold Sosnowski
Adam Wierzbicki
TeamX at CheckThat! 2023: Multilingual and Multimodal Approach for Check-Worthines
Detection
394-403
Rabindra Nath Nandi
Firoj Alam
Gpachov at CheckThat! 2023: A Diverse Multi-approach Ensemble for Subjectivity Detection
in News Articles
404-412
Georgi Pachov
Dimitar Dimitrov
Ivan Koychev
Preslav Nakov
ES-VRAI at CheckThat! 2023: Leveraging Bio and Lists Information for Enhanced Rumor
Verification in Twitter
413-422
Hamza Tarik Sadouk
Faouzi Sebbak
Hussem Eddine Zekiri
ES-VRAI at CheckThat! 2023: Enhancing Model Performance for Subjectivity Detection
through Multilingual Data Aggregation
423-429
Hamza Tarik Sadouk
Faouzi Sebbak
Hussem Eddine Zekiri
ES-VRAI at CheckThat! 2023: Analyzing Checkworthiness in Multimodal and Multigenre Contents through Fusion and Sampling Approaches
430-444
Hamza Tarik Sadouk
Faouzi Sebbak
Hussem Eddine Zekiri
FakeDTML at CheckThat! 2023: Identifying Check-Worthiness of Tweets and Debate Snippets
445-452
Abdullah Al Mamun Sardar
Md. Ziaul Karim
Krishno Dey
Md. Arid Hasan
OpenFact at CheckThat! 2023: Head-to-Head GPT vs. BERT - A Comparative Study of Transformers Language Models for the Detection of Check-worthy Claims
453-472
Marcin Sawinski
Krzysztof Wecel
Ewelina Ksiezniak
Milena Strózyna
Wlodzimierz Lewoniewski
Piotr Stolarski
Witold Abramowicz
TUDublin at CheckThat! 2023: ChatGPT for Data Augmentation
473-481
Elena Shushkevich
John Cardiff
Z-Index at CheckThat! 2023: Unimodal and Multimodal Check-worthiness Classification
482-493
Prerona Tarannum
Md. Arid Hasan
Firoj Alam
Sheak Rashed Haider Noori
Accenture at CheckThat! 2023: Learning to Detect Factuality Levels of News Sources
494-499
Sieu Tran
Paul Rodrigues
Benjamin Strauss
Evan M. Williams
Accenture at CheckThat! 2023: Learning to Detect Political Bias of News Articles and
Sources
500-506
Sieu Tran
Paul Rodrigues
Benjamin Strauss
Evan M. Williams
Accenture at CheckThat! 2023: Impacts of Back-translation on Subjectivity Detection
507-517
Sieu Tran
Paul Rodrigues
Benjamin Strauss
Evan M. Williams
Accenture at CheckThat! 2023: Identifying Claims with Societal Impact using NLP Data
Augmentation
518-525
Sieu Tran
Paul Rodrigues
Benjamin Strauss
Evan M. Williams
TOBB ETU at CheckThat! 2023: Utilizing ChatGPT to Detect Subjective Statements and
Political Bias
526-533
Mehmet Deniz Türkmen
Gökalp Cosgun
Mucahid Kutlu
ZHAW-CAI at CheckThat! 2023: Ensembling using Kernel Averaging
534-545
Pius von Däniken
Jan Deriu
Mark Cieliebak
Document Information Localization and Extraction (DocILE)
Extended Overview of DocILE 2023: Document Information Localization and Extraction
546-571
Štepán Šimsa
Michal Uricár
Milan Šulc
Yash Patel
Ahmed Hamdi
Matej Kocián
Matyáš Skalický
Jirí Matas
Antoine Doucet
Mickaël Coustaty
Dimosthenis Karatzas
RoBERTa Ensemble Technique for Document Information Localization and Extraction
572-582
Bao Gia Tran
Duy-Ngo Minh Bao
Khanh Gia Bui
Huy Viet Duong
Dang Hai Nguyen
Hieu Minh Nguyen
Object Detection Pipeline Using YOLOv8 for Document Information Extraction
583-597
Jakub Straka
Ivan Gruber
USTC-iFLYTEK at DocILE: A Multi-modal Approach Using Domain-specific GraphDoc
598-610
Yan Wang
Jun Du
Jiefeng Ma
Pengfei Hu
Zhenrong Zhang
Jianshu Zhang
Early Risk Prediction on the Internet (eRisk)
Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview)
611-638
Javier Parapar
Patricia Martin-Rodilla
David E. Losada
Fabio Crestani
NailP at eRisk 2023: Search for Symptoms of Depression
639-661
Eduardo Bezerra
Leonardo dos Santos
Rodolpho Nascimento
Rui Pedro Lopes
Gustavo Guedes
Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media
662-671
Ana-Maria Bucur
NLP-UNED-2 at eRisk 2023: Detecting Pathological Gambling in Social Media through
Dataset Relabeling and Neural Networks
672-683
Hermenegildo Fabregat
Andres Duque
Lourdes Araujo
Juan Martinez-Romo
Transformer-based Topic Modeling to Measure the Severity of Eating Disorder Symptoms
684-692
Diana-Nicoleta Grigore
Ioana Pintilie
Representation Exploration and Deep Learning Applied to the Early Detection of Pathological
Gambling Risks
693-705
Xabier Larrayoz
Nuria Lebeña
Arantza Casillas
Alicia Pérez
OBSER-MENH at eRisk 2023: Deep Learning-Based Approaches for Symptom Detection in
Depression and Early Identification of Pathological Gambling Indicators
706-717
Juan Martinez-Romo
Lourdes Araujo
Xabier Larrayoz
Maite Oronoz
Alicia Pérez
Lightweight Methods for Early Risk Detection
718-726
Diego Maupomé
Thomas Soulas
Fanny Rancourt
Ghyslain Cantin-Savoie
Grégoire Winterstein
Sébastien Mosser
Marie-Jean Meurs
BFH-AMI at eRisk@CLEF 2023
727-735
Ghofrane Merhbene
Alexandre R. Puttick
Mascha Kurpicz-Briki
ELiRF-UPV at eRisk 2023: Early detection of pathological gambling using SVM
736-742
Antonio Molina
Xinhui Huang
Lluís-F. Hurtado
Ferran Pla
SINAI at eRisk@CLEF 2023: Approaching Early Detection of Gambling with Natural Language
Processing
743-751
Alba María Mármol-Romero
Flor Miriam Plaza-del-Arco
Arturo Montejo-Ráez
UMUTeam at eRisk@CLEF 2023 Shared Task: Transformer Models for Early Detection of
Pathological Gambling, Depression, and Eating Disorder
752-762
Ronghao Pan
José Antonio García Díaz
Rafael Valencia-García
Exploring Depression Symptoms through Similarity Methods in Social Media Posts
763-772
Naveen Recharla
Prasanthi Bolimera
Yash Gupta
Anand Kumar Madasamy
MASON-NLP at eRisk 2023: Deep Learning-Based Detection of Depression Symptoms from
Social Media Texts
773-781
Fardin Ahsan Sakib
Ahnaf Atef Choudhury
Ozlem Uzuner
A Natural Language Processing Based Risk Prediction Framework for Pathological Gambling
782-790
Abu Talha
Tanmay Basu
Strategies to Harness the Transformers’ Potential: UNSL at eRisk 2023
791-804
Horacio Thompson
Leticia Cagnina
Marcelo Errecalde
uOttawa at eRisk 2023: Search for Symptoms of Depression
805-812
Yuxi Wang
Diana Inkpen
sEXism Identification in Social neTworks (EXIST)
Overview of EXIST 2023 – Learning with Disagreement for Sexism Identification and
Characterization (Extended Overview)
813-854
Laura Plaza
Jorge Carrillo-De-Albornoz
Roser Morante
Enrique Amigó
Julio Gonzalo
Damiano Spina
Paolo Rosso
Multilingual Sexism Identification Using Contrastive Learning
855-861
Jason Angel
Segun Taofeek Aroyehun
Alexander Gelbukh
Tlatlamiztli: Fine-Tuned RoBERTuito for Sexism Detection
862-868
Hardik Asnani
Andrew Davis
Aaryana Rajanala
Sandra Kübler
IU-NLP-JeDi: Investigating Sexism Detection in English and Spanish
869-877
Matthew Buzzell
Jeremy Dickinson
Natasha Singh
Sandra Kübler
AIT_FHSTP at EXIST 2023 Benchmark: Sexism Detection by Transfer Learning, Sentiment
and Toxicity Embeddings and Hand-Crafted Features
878-890
Jaqueline Böck
Mina Schütz
Daria Liakhovets
Nathanya Queby Satriani
Andreas Babic
Djordje Slijepcevic
Matthias Zeppelzauer
Alexander Schindler
Sexism Identification In Social Networks
891-900
Atul Chaudhary
Ritesh Kumar
I2C-UHU at CLEF-2023 EXIST task: Leveraging Ensembling Language Models to Detect Multilingual
Sexism in Social Media
901-907
Pablo Cordón
Jacinto Mata
Victoria Pachón
Juan Luis Domínguez
When Multiple Perspectives and an Optimization Process Lead to Better Performance,
an Automatic Sexism Identification on Social Media With Pretrained Transformers in
a Soft Label Context
908-918
Johan Erbani
Elöd Egyed-Zsigmond
Diana Nurbakova
Pierre-Edouard Portier
CLassifiers at EXIST 2023: Detecting Sexism in Spanish and English Tweets With XLM-T
919-926
Berna Ilke Ersoy
Gian Radler
Sofia Carpentieri
IU-Percival: Linear Models for Sexism Detection
927-936
Elizabeth Gabel
Holly Redman
Daniel Swanson
Sandra Kübler
UMUTeam at EXIST 2023: Sexism identification and categorisation fine-tuning Multilingual
Large Language Models
937-949
José Antonio García-Díaz
Ronghao Pan
Rafael Valencia-García
IUEXIST: Multilingual Pre-trained Language Models for Sexism Detection on Twitter
in EXIST2023
950-958
Yash A. Hatekar
Muhammad S. Abdo
Snigdha Khanna
Sandra Kübler
Detection of Sexism on Social Media with Multiple Simple Transformers
959-966
Chirayu Jhakal
Khushi Singal
Manan Suri
Divya Chaudhary
Bijendra Kumar
Ian Gorton
ROH_NEIL@EXIST2023: Detecting Sexism in Tweets using Multilingual Language Models
967-984
Rohit Koonireddy
Niloofar Adel
AI-UPV at EXIST 2023 – Sexism Characterization Using Large Language Models Under The
Learning with Disagreement Regime
985-999
Angel Felipe Magnossão de Paula
Giulia Rizzi
Elisabetta Fersini
Damiano Spina
Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa,
and DistilBERT for EXIST 2023 Tasks
1000-1011
Hadi Mohammadi
Anastasia Giachanou
Ayoub Bagheri
Enriching Hate-Tuned Transformer-Based Embeddings with Emotions for the Categorization
of Sexism
1012-1023
Arianna Muti
Eleonora Mancini
Combining Transformer Based Language Models with Socio-demographic Information for Improving Sexism Detection in Social Media
1024-1036
Jacobo Pedrosa-Marín
Jorge Carrillo-de-Albornoz
Laura Plaza
Leveraging MiniLMv2 Pipelines for EXIST2023
1037-1043
Alexandru Petrescu
LSTM-Attention Architecture for Online Bilingual Sexism Detection
1044-1059
Srinivasa Ravi
Siddharth Kelkar
Anand Kumar Madasamy
ZaRa-IU-NLP at EXIST 2023 - Sexism Identification: Specialized or Generalized?
1060-1066
Zackary Leech
Ravi Regulagedda
Sandra Kübler
IimasGIL_NLP@EXIST2023: Unveiling Sexism on Twitter with Fine-tuned Transformers
1067-1082
Andrea Sanchez-Urbina
Helena Gómez-Adorno
Gemma Bel-Enguix
Vianey Rodríguez-Figueroa
Angela Monge-Barrera
Efficient Multilingual Sexism Detection via Large Language Model Cascades
1083-1090
Lin Tian
Nannan Huang
Xiuzhen Zhang
Integrating Annotator Information in Transformer Fine-tuning for Sexism Detection
1091-1106
María Estrella Vallecillo-Rodríguez
Flor Miriam Plaza-del-Arco
Luis Alfonso Ureña-López
María Teresa Martín-Valdivia
Arturo Montejo-Ráez
Leveraging GPT-2 for Automated Classification of Online Sexist Content
1107-1122
Advaitha Vetagiri
Prottay Kumar Adhikary
Partha Pakray
Amitava Das
Intelligent Disease Progression Prediction at CLEF (iDPP@CLEF)
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge
1123-1164
Guglielmo Faggioli
Alessandro Guazzo
Stefano Marchesin
Laura Menotti
Isotta Trescato
Helena Aidos
Roberto Bergamaschi
Giovanni Birolo
Paola Cavalla
Adriano Chiò
Arianna Dagliati
Mamede de Carvalho
Giorgio Maria Di Nunzio
Piero Fariselli
Jose Manuel García Dominguez
Marta Gromicho
Enrico Longato
Sara C. Madeira
Umberto Manera
Gianmaria Silvello
Eleonora Tavazzi
Erica Tavazzi
Martina Vettoretti
Barbara Di Camillo
Nicola Ferro
Maximum Likelihood Estimation with Deep Learning for Multiple Sclerosis Progression
Prediction
1165-1185
Tsvetan Asamov
Petar Ivanov
Anna Aksenova
Dimitar Taskov
Svetla Boytcheva
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis
1186-1198
Ruben Branco
Diogo F. Soares
Andreia S. Martins
Joana Barros Valente
Eduardo N. Castanho
Sara C. Madeira
Helena Aidos
Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening
1199-1209
Ruben Branco
Joana Barros Valente
Andreia S. Martins
Diogo F. Soares
Eduardo N. Castanho
Sara C. Madeira
Helena Aidos
Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple
Sclerosis
1210-1218
Tommaso Mario Buonocore
Pietro Bosoni
Giovanna Nicora
Mahin Vazifehdan
Riccardo Bellazzi
Enea Parimbelli
Arianna Dagliati
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression
1219-1232
Alessandro Guazzo
Isotta Trescato
Enrico Longato
Erica Tavazzi
Martina Vettoretti
Barbara Di Camillo
Predicting Risk of Multiple Sclerosis Worsening
1233-1245
Marek Hanzl
Lukáš Picek
Air Pollution Profiling through Patient Stratification: Study of ALS Staging Systems
Usefulness in Facilitating Data-driven Disease Subtyping and Discovery of Hazardous
Ambient Air Pollutants
1246-1271
Mohamed Chiheb Karray
Time-to-Event Interpretable Machine Learning for Multiple Sclerosis Worsening Prediction:
Results from iDPP@CLEF 2023
1272-1285
Angela Lombardi
Maria Luigia Natalia De Bonis
Giuseppe Fasano
Alessia Sportelli
Tommaso Colafiglio
Domenico Lofù
Paolo Sorino
Fedelucio Narducci
Eugenio Di Sciascio
Tommaso Di Noia
HULAT@IDDP CLEF 2023: Intelligent Prediction of Disease Progression in Multiple Sclerosis
Patients
1286-1297
Alberto Ramos
Paloma Martínez
Israel González-Carrasco
Multiple Sclerosis Survival Prediction Results from DSM-COMPBIO UNITO
1298-1304
Ivan Rossi
Giovanni Birolo
Piero Fariselli
Multimedia Retrieval Challenge in CLEF (ImageCLEF)
Overview of ImageCLEFmedical GANs 2023 Task – Identifying Training Data “Fingerprints”
in Synthetic Biomedical Images Generated by GANs for Medical Image Security
1305-1315
Alexandra-Georgiana Andrei
Ahmedkhan Radzhabov
Ioan Coman
Vassili Kovalev
Bogdan Ionescu
Henning Müller
Overview of ImageCLEFmedical 2023 – Medical Visual Question Answering for Gastrointestinal
Tract
1316-1327
Steven Hicks
Andrea Storås
Pål Halvorsen
Thomas de Lange
Michael Riegler
Vajira Thambawita
Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection
1328-1346
Johannes Rückert
Asma Ben Abacha
Alba G. Seco de Herrera
Louise Bloch
Raphael Brüngel
Ahmad Idrissi-Yaghir
Henning Schäfer
Henning Müller
Christoph M. Friedrich
Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification
of Doctor-Patient Conversations
1347-1360
Wen-wai Yim
Asma Ben Abacha
Griffin Adams
Neal Snider
Meliha Yetisgen
Overview of ImageCLEFfusion 2023 Task - Testing Ensembling Methods in Diverse Scenarios
1361-1366
Liviu-Daniel ?tefan
Mihai Gabriel Constantin
Mihai Dogariu
Bogdan Ionescu
TREDENCE at MEDIQA-Sum 2023: Clinical Note Generation from Doctor Patient Conversation
using Utterance Segmentation and Question-Answer Driven Abstractive Summarization
1367-1378
Vaibhav Adwani
Mohammed Sameer Khan
Ankush Chopra
AIMultimediaLab at ImageCLEFmedical GANs 2023: Determining "Fingerprints" of Training
Data in Generated Synthetic Images
1379-1386
Alexandra-Georgiana Andrei
Bogdan Ionescu
Multi-stage Medical Image Captioning using Classification and CLIP
1387-1395
Masaki Aono
Hiroki Shinoda
Tetsuya Asakawa
Kazuki Shimizu
Takuya Togawa
Takuyuki Komoda
Real and Generated Image Classification using Multi-stage Transfer Learning
1396-1402
Tetsuya Asakawa
Hiroki Shinoda
Takuya Togawa
Kazuki Shimizu
Masaki Aono
Efficient Fusion Techniques for Result Diversification and Image Interestingness Tasks
1403-1414
Prabavathy Balasundaram
G Gnana Sai
Kishore N
Olirva M
Makesh Vaibhav A.G
Naren Srinivasan Murali
Parlapalli Sai Harshith
Correlating Biomedical Image Fingerprints between GAN-generated and Real Images using
a ResNet Backbone with ML-based Downstream Comparators and Clustering: ImageCLEFmed
GANs, 2023
1415-1422
Haricharan Bharathi
Anirudh Bhaskar
Vishal Venkataramani
Karthik Desingu
Lekshmi Kalinathan
UETCorn at MEDIQA-Sum 2023: Template-based Summarization for Clinical Note Generation
from Doctor-Patient Conversation
1423-1432
Duy-Cat Can
Quoc-An Nguyen
Binh-Nguyen Nguyen
Minh-Quang Nguyen
Khanh-Vinh Nguyen
Trung-Hieu Do
Hoang-Quynh Le
Finding the Source Images From the Generated Images with Contrastive Learning Methods
1433-1439
Shitong Cao
Xiaobing Zhou
StellEllaStars at MEDIQA-Sum 2023: Exploring Transformer-Based models for Dialogue2Topic
Classification
1440-1449
Chi-Yun Chang
Jiaqi Li
Shivangi Kumar
V.G. Vinod Vydiswaran
Language-based Colonoscopy Image Analysis with Pretrained Neural Networks
1450-1461
Patrycja Cieplicka
Julia Klos
Maciej Morawski
Jaroslaw Opala
Media Interestingness Prediction in ImageCLEFfusion 2023 with Dense Architecture-based
Ensemble & Scaled Gradient Boosting Regressor Model
1462-1466
Md. Ismail Siddiqi Emon
Md Mahmudur Rahman
Analyzing the Similarity between Artificial and Training Images in Generative Models:
The PicusLabMed Contribution
1467-1477
Michela Gravina
Stefano Marrone
Carlo Sansone
A Dual of Stacked Attention Networks (SAN’s) and VGG-16 Model-Based Visual Question
Answering Evaluation
1478-1487
Rohit Raj Gunti
Abebe Rorissa
HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers
1488-1509
Bin Han
Haotian Zhu
Sitong Zhou
Sofia Ahmed
Md. Mushfiqur Rahman
Fei Xia
Kevin Lybarger
Concept Detection and Caption Prediction in ImageCLEFmedical Caption 2023 with Convolutional
Neural Networks, Vision and Text-to-Text Transfer Transformers
1510-1523
Md. Rakibul Hasan
Oyebisi Layode
Md Mahmudur Rahman
AUEB NLP Group at ImageCLEFmedical Caption 2023
1524-1548
Panagiotis Kaliosis
Georgios Moschovis
Foivos Charalampakos
John Pavlopoulos
Ion Androutsopoulos
SSNdhanyadivyakavitha at MEDIQA-Sum 2023: Medical Dialogue Summarization using Linear
Support Vector Classification Technique
1549-1557
Dhanya Krishnan
Divya Srinivasan
Kavitha Srinivasan
IUST_NLPLAB at ImageCLEFmedical Caption Tasks 2023
1558-1570
Yasaman Lotfollahi
Melika Nobakhtian
Malihe Hajihosseini
Sauleh Eetemadi
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement
for Gastrointestinal Visual Question Answering
1571-1587
Triet M. Thai
Anh T. Vo
Hao K. Tieu
Linh N.P. Bui
Thien T.B. Nguyen
GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture
Analysis
1588-1595
Mehdi Mehdipour Ghazi
Mostafa Mehdipour Ghazi
Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the
VCMI Team to ImageCLEFmedical GANs 2023
1596-1610
Helena Montenegro
Pedro Neto
Cristiano Patrício
Isabel Rio-Torto
Tiago Gonçalves
Luís F. Teixeira
A Concise Model for Medical Image Captioning
1611-1619
Aaron Nicolson
Jason Dowling
Bevan Koopman
SSN MLRG at ImageCLEFmedical Caption 2023: Automatic Concept Detection and Caption
Prediction using ConceptNet and Vision Transformer
1620-1626
Sheerin Sitara Noor Mohamed
Kavitha Srinivasan
SSN MLRG at MEDIQA-SUM 2023: Automatic Text Summarization using Support Vector Machine
and RoBERTa
1627-1632
Sheerin Sitara Noor Mohamed
Kavitha Srinivasan
SSN MLRG at MEDVQA-GI 2023: Visual Question Generation and Answering using Transformer
based Pre-trained Models
1633-1640
Sheerin Sitara Noor Mohamed
Kavitha Srinivasan
Raghuraman Gopalsamy
Concept Detection and Caption Prediction from Medical Images using Gradient Boosted
Ensembles and Deep Learning
1641-1652
Mirunalini Palaniappan
Haricharan Bharathi
Eeswara Anvesh Chodisetty
Anirudh Bhaskar
Karthik Desingu
Detecting Concepts and Generating Captions from Medical Images: Contributions of the
VCMI Team to ImageCLEFmedical Caption 2023
1653-1667
Isabel Rio-Torto
Cristiano Patrício
Helena Montenegro
Tiago Gonçalves
Jaime S. Cardoso
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert
Patient Dialogues to Medical Records
1668-1679
Viktor Schlegel
Hao Li
Yuping Wu
Anand Subramanian
Thanh-Tung Nguyen
Abhinav Ramesh Kashyap
Daniel Beck
Xiaojun Zeng
Riza Theresa Batista-Navarro
Stefan Winkler
Goran Nenadic
Team Cadence at MEDIQA-Sum 2023: Using ChatGPT as a Data Augmentation Tool for Classifying
Clinical Dialogue
1680-1687
Ashwyn Sharma
David I. Feldman
KDE Lab at ImageCLEFmedical Caption 2023
1688-1701
Hiroki Shinoda
Masaki Aono
Tetsuya Asakawa
Kazuki Shimizu
Takuyuki Komoda
Takuya Togawa
DMK-SSN at ImageCLEF 2023 Medical: Controlling the Quality of Synthetic Medical Images
Created via GANs using Machine Learning and Image Hashing Techniques
1702-1710
Dhivya Subburam
Shriram M SathyaNarayanan
Bhavana Anand
Kavitha Srinivasan
Mohanavalli Subramaniam
MLRG-JBTTM at MEDIQA-Sum 2023: Dialogue2Topic Classification
1711-1719
Harshida Sujatha Palaniraj
Keerthan Vinod
Mohith Adluru
Bhuvana Jayaraman
Mirnalinee TT
SuryaKiran at MEDIQA-Sum 2023: Leveraging LoRA for Clinical Dialogue Summarization
1720-1735
Kunal Suri
Prakhar Mishra
Saumajit Saha
Atul Singh
BIT Mesra at ImageCLEF 2023: Fusion of Blended Image and Text Features for Medical
VQA
1736-1743
Sushmita Upadhyay
Sanjaya Shankar Tripathy
Adapting Pre-Trained Visual and Language Models for Medical Image Question Answering
1744-1753
Siqi Wang
Wenshuo Zhou
Yehui Yang
Haifeng Huang
Zhiyu Ye
Tong Zhang
Dalu Yang
PCLmed at ImageCLEFmedical 2023: Customizing General-Purpose Foundation Models for
Medical Report Generation
1754-1766
Bang Yang
Asif Raza
Yuexian Zou
Tong Zhang
Concept Detection and Image Caption Generation in Medical Imaging
1767-1775
Varsha Yeshwanth
Pranith P
Lekshmi Kalinathan
Transferring Pre-Trained Large Language-Image Model for Medical Image Captioning
1776-1784
Wenshuo Zhou
Zhiyu Ye
Yehui Yang
Siqi Wang
Haifeng Huang
Rongjie Wang
Dalu Yang
Automatic Wordplay Analysis (JOKER)
Overview of JOKER 2023 Automatic Wordplay Analysis Task 1 – Pun Detection
1785-1803
Liana Ermakova
Tristan Miller
Anne-Gwenn Bosser
Victor Manuel Palma Preciado
Grigori Sidorov
Adam Jatowt
Overview of JOKER 2023 Automatic Wordplay Analysis Task 2 – Pun Location and Interpretation
1804-1817
Liana Ermakova
Tristan Miller
Anne-Gwenn Bosser
Victor Manuel Palma Preciado
Grigori Sidorov
Adam Jatowt
Overview of JOKER 2023 Automatic Wordplay Analysis Task 3 – Pun Translation
1818-1827
Liana Ermakova
Tristan Miller
Anne-Gwenn Bosser
Victor Manuel Palma Preciado
Grigori Sidorov
Adam Jatowt
Exploring Humor in Natural Language Processing: A Comprehensive Review of JOKER Tasks
at CLEF Symposium 2023
1828-1837
Aftab Anjum
Nikolaus Lieberum
CLEF 2023 JOKER Task 2 : Using Chat GPT for Pun Location and Interpretation
1838-1845
Océane Brunelière
Constance Germann
Keith Salina
AKRaNLU @ CLEF JOKER 2023: Using Sentence Embeddings and Multilingual Models to Detect
and Interpret Wordplay
1846-1853
Ryan Rony Dsilva
UBO Team @ CLEF JOKER 2023 Track For Task 1, 2 and 3 - Applying AI Models In Regards
To Pun Translation
1854-1861
Quentin Dubreuil
BU-Pier Team @ CLEF JOKER 2023 Open Task: Slip of the Tongue Generation to Improve
Social Interaction with Virtual Agents
1862-1867
Loïc Glemarec
Fred Charles
CLEF2023’ JOKER
1868-1874
Julia Komorowska
Iva Catipovic
Darko Vujica
CLEF 2023 JOKER Tasks 2 and 3: Using NLP Models for Pun Location, Interpretation and
Translation
1875-1880
Felix Ohnesorge
Mari Angeles Gutierrez
Julia Plichta
NLPalma @ CLEF 2023 JOKER: A BLOOMZ and BERT Approach for Wordplay Detection and Translation
1881-1887
Victor Manuel Palma Preciado
Carolina Palma Preciado
Grigori Sidorov
Does AI Have a Sense of Humor? CLEF 2023 JOKER Tasks 1, 2 and 3: Using BLOOM, GPT,
SimpleT5, and More for Pun Detection, Location, Interpretation and Translation
1888-1908
Olga Popova
Petra Dadic
CLEF 2023 JOKER Task 1, 2, 3: Pun Detection, Pun Interpretation, and Pun Translation
1909-1917
Antonela Prnjak
Dennis R. Davari
Kristina Schmitt
Innsbruck @ JOKER2023 Task 1: Data Augmentation Techniques for Humor Recognition in
Text
1918-1924
Stefan Reicho
Adam Jatowt
Why Sentiment Analysis is a Joke with JOKER data? Word-Level and Interpretation Analysis (CLEF 2023 JOKER Task 2)
1925-1933
Tremaine Thomas-Young
Multimedia Retrieval in Nature (LifeCLEF)
Overview of BirdCLEF 2023: Automated Bird Species Identification in Eastern Africa
1934-1942
Stefan Kahl
Tom Denton
Holger Klinck
Hendrik Reers
Francis Cherutich
Hervé Glotin
Hervé Goëau
Willem-Pier Vellinga
Robert Planqué
Alexis Joly
Overview of FungiCLEF 2023: Fungi Recognition Beyond 1/0 Cost
1943-1953
Lukáš Picek
Milan Šulc
Rail Chamidullin
Jirí Matas
Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing
1954-1971
Christophe Botella
Benjamin Deneu
Diego Marcos Gonzalez
Maximilien Servajean
Théo Larcher
César Leblanc
Joachim Estopinan
Pierre Bonnet
Alexis Joly
Overview of PlantCLEF 2023: Image-based Plant Identification at Global Scale
1972-1981
Hervé Goëau
Pierre Bonnet
Alexis Joly
Overview of SnakeCLEF 2023: Snake Identification in Medically Important Scenarios
1982-1995
Lukáš Picek
Rail Chamidullin
Marek Hrúz
Andrew M. Durso
Metric-Weighted Ensemble Focal Loss for Snake Species Identification
1996-2006
Aarti Balana
Joint Feature Learning of Image Data with Embedded Metadata to Leverage Snake Species
Classification
2007-2034
Benjamin Bracke
Mohammadreza Bagherifar
Louise Bloch
Christoph M. Friedrich
Deep Learning for Large-Scale Plant Classification: NEUON Submission to PlantCLEF
2023
2035-2042
Sophia Chulif
Yang Loong Chang
Sue Han Lee
Acoustic Bird Species Recognition at BirdCLEF 2023: Training Strategies for Convolutional Neural Network and Inference Acceleration using OpenVINO
2043-2050
Lihang Hong
A Deep Learning based Solution to FungiCLEF2023
2051-2059
Feiran Hu
Peng Wang
Yangyang Li
Chenlong Duan
Zijian Zhu
Yong Li
Xiu-Shen Wei
Watch out Venomous Snake Species: A Solution to SnakeCLEF2023
2060-2070
Feiran Hu
Peng Wang
Yangyang Li
Chenlong Duan
Zijian Zhu
Fei Wang
Faen Zhang
Yong Li
Xiu-Shen Wei
Bird Species Recognition using Convolutional Neural Networks with Attention on Frequency
Bands
2071-2079
Mario Lasseck
Classic Approaches to Bird Song Classification
2080-2090
Mihai-Dimitrie Minu?
Cristian Simionescu
Adrian Iftene
Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall Classification
2091-2106
Anthony Miyaguchi
Nathan Zhong
Murilo Gustineli
Chris Hayduk
Reading the Robot Mind – Presenting Internal Data Flow Within an AI for Classification
of Bird Sounds in a Format Familiar to Subject Matter Experts
2107-2121
Paul Nussbaum
Entropy-guided Open-set Fine-grained Fungi Recognition
2122-2136
Huan Ren
Han Jiang
Wang Luo
Meng Meng
Tianzhu Zhang
Metaformer Model with ArcFaceLoss and Contrastive Learning for SnakeCLEF2023 Fine-Grained
Classification
2137-2148
Zhennan Shi
Huazhen Chen
Chang Liu
Jun Qiu
Leverage Samples with Single Positive Labels to Train CNN-based Models For Multi-label
Plant Species Prediction
2149-2158
Huy Quang Ung
Ryoichi Kojima
Shinya Wada
Optimizing Fine-Grained Fungi Classification for Diverse Application-Oriented Open-Set
Metrics
2159-2167
Stefan Wolf
Jürgen Beyerer
PlantCLEF2023: A Bigger Training Dataset Contributes More than Advanced Pretraining
Methods for Plant Identification
2168-2180
Mingle Xu
Sook Yoon
Chenmou Wu
Jeonghyun Baek
Dong Sun Park
Longitudinal Evaluation of Model Performance (LongEval)
Extended Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance
2181-2203
Rabab Alkhalifa
Iman Bilal
Hsuvas Borkakoty
Jose Camacho-Collados
Romain Deveaud
Alaa El-Ebshihy
Luis Espinosa-Anke
Gabriela Nicole González-Sáez
Petra Galušcáková
Lorraine Goeuriot
Elena Kochkina
Maria Liakata
Daniel Loureiro
Philippe Mulhem
Florina Piroi
Martin Popel
Christophe Servan
Harish Tayyar Madabushi
Arkaitz Zubiaga
SEUNIPD@CLEF: Team JIHUMING on Enhancing Search Engine Performance with Character N-Grams, Query Expansion, and Named Entity Recognition
2204-2221
Isil Atabek
Huimin Chen
Jesús Moncada-Ramírez
Nicolò Santini
Giovanni Zago
Nicola Ferro
SEUPD@CLEF: Team GWCA on Longitudinal Evaluation of IR Systems by Using Query Expansion and Learning To Rank
2222-2238
Leonardo Bellin
Antonino Andrea Carè
Marco Martini
Maria Teresa Pepaj
Matteo Salvalaio
Andrea Segala
Mariafiore Tognon
Nicola Ferro
SEUPD@CLEF: RAFJAM on Longitudinal Evaluation of Model Performance
2239-2251
Alvise Bolzonella
Riccardo Broetto
Marco Gasparini
Farhad Sadat
Nicola Ferro
SEUPD@CLEF: Team FADERIC on A Query Expansion and Reranking Approach for the LongEval
Task
2252-2280
Enrico Bolzonello
Christian Marchiori
Daniele Moschetta
Riccardo Trevisiol
Fabio Zanini
Nicola Ferro
SEUPD@CLEF: Team NEON. A Memoryless Approach To Longitudinal Evaluation
2281-2305
Simone Bortolin
Gioele Ceccon
Gil Czaczkes
Alessandra Pastore
Pietro Renna
Giovanni Zerbo
Nicola Ferro
SEUPD@CLEF: Team Squid on LongEval-Retrieval
2306-2337
Vittorio Cardillo
Alberto Dorizza
Mattia Maglie
Dario Mameli
Gianluca Rossi
Michele Russo
Nicola Ferro
SEUPD@CLEF: Team DARDS - IR System for Short and Long Term Retrieval
2338-2367
Daniel Carlesso
Riccardo Gobbo
Simone Merlo
Angela Pomaro
Diego Spinosa
Nicola Ferro
SEUPD@CLEF: Team CLOSE on Temporal Persistence of IR Systems’ Performance
2368-2395
Gianluca Antolini
Nicola Boscolo
Mirco Cazzaro
Marco Martinelli
Seyedreza Safavi
Farzad Shami
Nicola Ferro
SEUPD@CLEF: Team HIBALL on Incremental Information Retrieval System with RRF and BERT
2396-2415
Andrea Ceccato
Luca Fabbian
Bor-Woei Huang
Irfan Ullah Khan
Harjot Singh
Nicola Ferro
SEUPD@CLEF: Team QEVALS on Information Retrieval Adapted to the Temporal Evolution of Web Documents
2416-2431
Enrico D'Alberton
Saverio Fincato
Vaidas Lenartavicius
Laura Pallante
Yi Jian Qiu
Nicola Ferro
Open Web Search at LongEval 2023: Reciprocal Rank Fusion on Automatically Generated Query Variants
2432-2440
Maik Fröbe
Gijs Hendriksen
Arjen P. de Vries
Martin Potthast
Evaluating Temporal Persistence Using Replicability Measures
2441-2457
Jüri Keller
Timo Breuer
Philipp Schaer
The Temporal Persistence of Generative Language Models in Sentiment Analysis
2458-2468
Pablo Medina-Alias
Özgür Simsek
Keeping in Time: Adding Temporal Context to Sentiment Analysis Models
2469-2475
Dean Ninalga
Lab on Digital Text Forensics and Stylometry (PAN)
Overview of the Authorship Verification Task at PAN 2023
2476-2491
Efstathios Stamatatos
Krzysztof Kredens
Piotr Pezik
Annina Heini
Janek Bevendorff
Benno Stein
Martin Potthast
Profiling Cryptocurrency Influencers with Few-shot Learning
2492-2512
Mara Chinea-Rios
Ian Borrego-Obrador
Marc Franco-Salvador
Francisco Rangel
Paolo Rosso
Overview of the Multi-Author Writing Style Analysis Task at PAN 2023
2513-2522
Eva Zangerle
Maximilian Mayerl
Martin Potthast
Benno Stein
Overview of the Trigger Detection Task at PAN 2023
2523-2536
Matti Wiegmann
Magdalena Wolska
Martin Potthast
Benno Stein
Leveraging Large Language? Models with Multiple Loss Learners for Few-Shot Author Profiling
2539-2551
Hamed Babaei Giglou
Mostafa Rahgouy
Jennifer D'Souza
Milad Molazadeh Oskuee
Hadi Bayrami Asl Tekanlou
Cheryl D Seals
A Dual-model Classification Based on RoBERTa for Trigger Detection
2552-2556
Guiyuan Cao
Zhongyuan Han
Haojie Cao
Ximin Huang
Zhengqiao Zeng
Yaozu Tan
Jiyin Cai
Xu Sun
Trigger Warning Labeling with RoBERTa and Resampling for Distressing Content Detection
2557-2561
Haojie Cao
Zhongyuan Han
Guiyuan Cao
Ruihao Zhu
Yongqi Liang
Siman Liu
Minhua Huang
Haihao Yu
A Writing Style Embedding Based on Contrastive Learning for Multi-Author Writing Style Analysis
2562-2567
Haoyang Chen
Zhongyuan Han
Zengyao Li
Yong Han
Using BERT to Profiling Cryptocurrency Influencers
2568-2573
Daniel Yacob Espinosa
Grigori Sidorov
FoSIL at PAN’23: Trigger Detection with a Two Stage Topic Classifier
2574-2587
Jenny Felser
Christoph Demus
Dirk Labudde
Michael Spranger
Profiling Cryptocurrency Influencers with Few-shot Learning
2588-2598
Isabel Ferri-Molla
Jaume Santamaria-Jorda
Profiling Cryptocurrency Influencers with Sentence Transformers
2599-2607
Kavya Girish
Asha Hegde
Fazlourrahman Balouchzahi
Shashirekha Hosahalli Lakshmaiah
A Contrastive Learning of Sample Pairs for Authorship Verification
2608-2612
Mingcan Guo
Zhongyuan Han
Haoyang Chen
Haoliang Qi
Enhancing Writing Style Change Detection using Transformer-based Models and Data Augmentation
2613-2621
Ahmad Hashemi
Wei Shi
Trigger Detection in Social Media Text
2622-2628
Asha Hegde
Fazlourrahman Balouchzahi
Kavya G
Hosahalli Shashirekha Lakshmaiah
Encoded Classifier Using Knowledge Distillation for Multi-Author Writing Style Analysis
2629-2634
Mingjie Huang
Zhaohao Huang
Leilei Kong
Authorship Verification Based on CoSENT
2635-2639
Zhaohao Huang
Leilei Kong
Mingjie Huang
Enhancing Authorship Verification using Sentence-Transformers
2640-2651
Momen Ibrahim
Ahmed Akram
Mohammed Radwan
Rana Ayman
Mustafa Abd-El-Hameed
Nagwa El-Makky
Marwan Torki
Authorship Verification Machine Learning Methods For Style Change Detection In Texts
2652-2658
Gianni X. Jacobo
Valeria Dehesa-Corona
Ariel D. Rojas-Reyes
Helena Gómez-Adorno
ARC-NLP at PAN 2023: Transition-Focused Natural Language Inference for Writing Style
Detection
2659-2668
Izzet Emre Kucukkaya
Umitcan Sahin
Cagri Toraman
UZH at PAN-2023: Profiling Cryptocurrency Influencers using Ensemble of Language Models
2669-2678
Abhinav Kumar
Le Hoang Minh Trinh
Afshan Anam Saeed
Reshape or Update? Metric Learning and Fine-tuning for Low-Resource Influencer Profiling
2679-2690
Roberto Labadie Tamayo
Areg Mikael Sarvazyan
Author Verification Of Text Fragments Based On The Bert Model
2691-2694
Ji Li
Qianjin Zhang
Mingjie Huang
Profiling Cryptocurrency Influencers With Few-shot Learning via Contrastive Learning
2695-2701
Zengyao Li
Zhongyuan Han
Jiyin Cai
Zhijian Huang
Shaohua Huang
Leilei Kong
Text-Segment Interaction for Authorship Verification using BERT-based Classification
2702-2707
Xurong Liu
Leilei Kong
Mingjie Huang
Text Enrichment with Japanese Language to Profile Cryptocurrency Influencers
2708-2716
Francesco Lomonaco
Marco Siino
Maurizio Tesconi
Application of R-Drop in Authorship Verification
2717-2721
Jiajun Lv
Yong Han
Qian Dong
Profiling Cryptocurrency Influencers using Few-shot Learning
2722-2733
Hamna Muslihuddeen
Pallapothula Sathvika
Shalaka Sankar
Shreya Ostwal
Anand Kumar M
Contrastive Learning for Authorship Verification using BERT and Bi-LSTM in a Siamese Architecture
2734-2741
Panagiotis Petropoulos
Authorship Verification Based on SimCSE
2742-2746
Yong Qiu
Haoliang Qi
Yong Han
Kaicheng Huang
ARC-NLP at PAN 2023: Hierarchical Long Text Classification for Trigger Detection
2747-2757
Umitcan Sahin
Izzet Emre Kucukkaya
Cagri Toraman
A Multi-Feature Custom Classification Approach to Authorship Verification
2758-2762
Riya Sanjesh
Alamelu Mangai
XLNet with Data Augmentation to Profile Cryptocurrency Influencers
2763-2771
Marco Siino
Ilenia Tinnirello
Profiling Cryptocurrency Influencers with Few-Shot Learning Using Data Augmentation and ELECTRA
2772-2781
Marco Siino
Maurizio Tesconi
Ilenia Tinnirello
Siamese Networks in Trigger Detection Task
2782-2786
Yunsen Su
Yong Han
Haoliang Qi
Stylometric and Neural Features Combined Deep Bayesian Classifier for Authorship Verification
2787-2794
Yitao Sun
Svetlana Afanaseva
Kailash Patil
Heterogeneous-Graph Convolutional Network for Authorship Verification
2795-2802
Andric Valdez-Valenzuela
Jorge Alfonso Martinez-Galicia
Helena Gómez-Adorno
Few Shot Profiling of Cryptocurrency Influencers using Natural Language Inference & Large Language Models
2803-2816
Emilio Villa-Cueva
Jorge Miguel Valles-Silva
Adrian Pastor Lopez-Monroy
Fernando Sanchez-Vega
Jesus Roberto Lopez-Santillan
Supervised Contrastive Learning for Multi-Author Writing Style Analysis
2817-2822
Zhanhong Ye
Changle Zhong
Haoliang Qi
Yong Han
Automatic Simplification of Scientific Texts (SimpleText)
Overview of the CLEF 2023 SimpleText Task 1: Passage Selection for a Simplified Summary
2823-2834
Éric Sanjuan
Stéphane Huet
Jaap Kamps
Liana Ermakova
Overview of the CLEF 2023 SimpleText Task 2: Difficult Concept Identification and Explanation
2835-2854
Liana Ermakova
Hosein Azarbonyad
Sarah Bertin
Olivier Augereau
Overview of the CLEF 2023 SimpleText Task 3: Simplification of Scientific Texts
2855-2875
Liana Ermakova
Sarah Bertin
Helen McCombie
Jaap Kamps
UZH_Pandas at SimpleText@CLEF-2023: Alpaca LoRA 7B and LENS Model Selection for Scientific Literature Simplification
2876-2898
Pascal Severin Andermatt
Tobias Fankhauser
Automatic Simplification of Scientific Texts using Pre-trained Language Models: A Comparative Study at CLEF Symposium 2023
2899-2907
Aftab Anjum
Nikolaus Lieberum
Comparing ChatGPT’s and Human Evaluation of Scientific Texts’ Translations from English
to Portuguese Using Popular Automated Translators
2908-2917
Sílvia Araújo
Micaela Aguiar
Scientific Simplification, the Limits of ChatGPT.
2918-2922
Sarah Bertin
Elsevier at SimpleText: Passage Retrieval by Fine-tuning GPL on Scientific Documents
2923-2934
Artemis Capari
Hosein Azarbonyad
Georgios Tsatsaronis
Zubair Afzal
CLEF 2023 SimpletText Tasks 2 and 3: Enhancing Language Comprehension: Addressing Difficult Concepts and Simplifying Scientific Texts Using GPT, BLOOM, KeyBert, Simple T5 and More
2935-2957
Petra Dadic
Olga Popova
CLEF2023 SimpleText Task 2, 3: Identification and Simplification of Difficult Terms
2958-2968
Dennis R. Davari
Antonela Prnjak
Kristina Schmitt
UBO Team @ CLEF SimpleText 2023 Track for Task 2 and 3 - Using IA models to simplify
Scientific Texts
2969-2978
Quentin Dubreuil
Domain Context-centered Retrieval for the Content Selection task in the Simplification
of Scientific Literature
2979-2986
Óscar E. Mendoza
Gabriella Pasi
Text Simplification of Scientific Texts for Non-Expert Readers
2987-2998
Björn Engelmann
Fabian Haak
Christin Katharina Kreutz
Narjes Nikzad Khasmakhi
Philipp Schaer
An Evaluation of MUSS and T5 Models in Scientific Sentence Simplification: A Comparative
Study
2999-3006
Running Hou
Xinyi Qin
University of Amsterdam at the CLEF 2023 SimpleText Track
3007-3016
Roos Hutter
Jop Sutmuller
Mary Adib
David Rau
Jaap Kamps
AIIR and LIAAD Labs Systems for CLEF 2023 SimpleText
3017-3026
Behrooz Mansouri
Shea Durgin
Sj Franklin
Sean Fletcher
Ricardo Campos
CLEF 2023: Scientific Text Simplification and General Audience
3027-3032
Felix Ohnesorge
Mari Ángeles Gutiérrez
Julia Plichta
SINAI Participation in SimpleText Task 2 at CLEF 2023: GPT-3 in Lexical Complexity
Prediction for General Audience
3033-3044
Jenny Ortiz-Zambrano
César Espin-Riofrio
Arturo Montejo-Ráez
NLPalma @ CLEF 2023 SimpleText: BLOOMZ and BERT for Complexity and Simplification
Task
3045-3049
Victor Manuel Palma Preciado
Carolina Palma Preciado
Grigori Sidorov
CLEF2023 SimpleText
3050-3056
Darko Vujica
Iva Catipovic
Julia Komorowska
A Prompt Engineering Approach to Scientific Text Simplification: CYUT at SimpleText2023
Task3
3057-3064
Shih-Hung Wu
Hong-Yi Huang
Argument Retrieval (Touché)
Overview of Touché 2023: Argument and Causal Retrieval
3065-3089
Alexander Bondarenko
Maik Fröbe
Johannes Kiesel
Ferdinand Schlatt
Valentin Barriere
Brian Ravenet
Léo Hemamou
Simon Luck
Jan Heinrich Reimer
Benno Stein
Martin Potthast
Matthias Hagen
Silver Surfer team at Touché task 4: Testing Data Augmentation and Label Propagation
for Multilingual Stance Detection
3090-3097
Jorge Avila
Alvaro Rodrigo
Roberto Centeno
Neville Longbottom at Touché 2023: Image Retrieval for Arguments using ChatGPT, CLIP
and IBM Debater
3098-3103
Daria Elagina
Bernd-Albrecht Heizmann
Max Koch
Gustav Lahmann
Christian Ortlepp
Evidence Retrieval for Causal Questions Using Query Expansion And Reranking
3104-3110
Aron Gaden
Niklas Rausch
Bruno Reinhold
Lukas Zeit-Altpeter
Jean-Luc Picard at Touché 2023: Comparing Image Generation, Stance Detection and Feature
Matching for Image Retrieval for Arguments
3111-3118
Max Moebius
Maximilian Enderling
Sarah T. Bachinger
Argument Quality Prediction for Ranking Documents
3119-3130
Moritz Plenz
Raphael Buchmüller
Alexander Bondarenko
Queen of Swords at Touché 2023: Intra-Multilingual Multi-Target Stance Classification
using BERT
3131-3138
Karla Schäfer
2023-07-18: submitted by Guglielmo Faggioli, metadata incl. bibliographic data published under
Creative Commons CC0
2023-10-04
: published on CEUR-WS Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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