Program Overview

🕙 All times listed are in Central European Summer Time (CEST), UTC+2
Welcome Desk 8:30-16 Everyday
June 25th

9:00 AM - 9:15 AM: Welcome Session

  • Welcome speech by the organizers.

9:15 AM - 10:00 AM: Keynote Session

Serena Villata: Remove the veil of fallacy: fallacious argument detection in political debates

Fallacies are arguments that employ faulty reasoning. Given their persuasive and seemingly valid nature, fallacious arguments are often used in political debates. Employing these misleading arguments in politics can have detrimental consequences for society, since they can lead to inaccurate conclusions and invalid inferences from the public opinion and the policymakers. Automatically detecting and classifying fallacious arguments represents therefore a crucial challenge to limit the spread of misleading or manipulative claims and promote a more informed and healthier political discourse. In this talk, I will first present the benchmark called ElecDeb60To16 of U.S. presidential debates annotated with fallacious arguments. Second, I will introduce how to automatically detect and classify six categories of fallacious arguments (i.e., Ad Hominem, Appeal to Authority, Appeal to Emotion, False Cause, Slippery Slope, and Slogans), showing the impact of argumentation features to improve this classification. I will conclude by discussing ongoing research on generating explanations to unveil fallacious argumentation.

Short Bio

Serena Villata is a research director in computer science at the CNRS and she pursues her research at the I3S laboratory in Sophia Antipolis (France). Her research area is Artificial Intelligence (AI), and her current work focuses on artificial argumentation, with a specific focus on legal and medical texts, political debates and social network harmful content (abusive language, disinformation). Her work conjugates argument-based reasoning frameworks with natural language arguments extracted from text. She is the author of more than 150 scientific publications in AI. Since July 2019, she has been awarded with a Chaire in Artificial Intelligence at the Interdisciplinary Institute for Artificial Intelligence 3IA Cote d'Azur on "Artificial Argumentation for Humans". She became the Deputy Scientific Director of the 3IA Cote d'Azur Institute in January 2021. Since December 2019, she is a member of the National Committee for Digital Ethics (CNPEN).

10:00 AM - 10:45 AM:

☕ Coffee Break: Caffè Elena, P.za Vittorio Veneto, 5, 10124 Torino TO, [Google Maps]

10:45 AM - 1:00 PM: Paper Presentations (Session 1 - Session Chair: Nicolás Benjamín Ocampo)

  • [Full Paper] Fine-Tuning BERT On Coarse-Grained Labels: Exploring Hidden States For Fine-Grained Classification - Authors: Aftab Anjum and Ralf Krestel
  • [Full Paper] Studies on the Use of Large Language Models for the Automation of Business Processes in Enterprise Resource Planning Systems - Authors: Jonas Schnepf, Tugranur Engin, Simon Anderer and Bernd Scheuermann
  • [Full Paper] Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights - Authors: Mohamad Ballout, Ulf Krumnack, Gunther Heidemann and Kai-Uwe Kühnberger
  • [Full Paper] Text Role Classification in Scientific Charts Using Multimodal Transformers - Authors: Hye Jin Kim, Nicolas Lell and Ansgar Scherp
  • [Short Paper] Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-level Classification - Authors: Chengguang Gan, Qinghao Zhang and Tatsunori Mori
  • [Short Paper] Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM - Authors: Md Kowsher, Ritesh Panditi, Nusrat Jahan Prottasha, Prakash Bhat, Anupam Kumar Bairagi and Mohammad Shamsul Arefin
  • [Short Paper] Large-scale Language Models for Sarcasm Detection with Data Augmentation - Authors: Linrui Zhang and Belinda Copus
  • [Short Paper] Generating entity embeddings for populating Wikipedia Knowledge Graph by Notability detection - Authors: Gokul Thota and Vasudeva Varma
  • [Short Paper] Meet XLM-RLnews-8: Not just another sentiment analysis model - Authors: Elisa Di Nuovo, Emmanuel Cartier and Bertrand De Longueville
  • [DEMO Paper] CWordTM: Towards a Topic Modeling Toolkit from Low-Code to Pro-Code - Authors: Wing-Fat Johnny Cheng

1:00 PM - 2:00 PM: Lunch Break

Lunch not provided by the conference organization.

2:00 PM - 4:00 PM: Paper Presentations (Session 2 - Session Chair: Jochen L. Leidner)

  • [Full Paper] LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning - Authors: Tiezhu Sun, Weiguo Pian, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé and Jacques Klein
  • [Full Paper] Unveiling Depression on Social Media: Active Learning with Human-in-the-Loop Labeling for Mental Health Data Annotation and Analysis - Authors: Mohsinul Kabir, Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, Fatin Abrar Shams, Hasan Mahmud and Kamrul Hasan
  • [Full Paper] All-words Pronunciation Estimation of Japanese Homographs Using Automatically Tagged Data - Authors: Taichiro Kobayashi, Kanako Komiya and Hiroyuki Shinnou | (Candidate for best paper award)
  • [Short Paper] Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed - Authors: Manzoor Ali, Muhammad Sohail Nisar, Diego Moussallem, Muhammad Saleem and Axel-Cyrille Ngonga Ngomo
  • [DEMO Paper] PET Annotation Visualizer: A Tool to Visualize the Process Models Extraction from Text (PET) Dataset - Authors: Patrizio Bellan and Mauro Dragoni
  • [Short Paper] E-ReaRev: Adaptive Reasoning for Question Answering over Incomplete Knowledge Graphs by Edge and Meaning Extensions - Authors: Xiaotong Ye, Ling Xiao, Chi Zhang and Toshihiko Yamasaki
  • [Short Paper] ECR: An Expertise-Enriched Conclude-then-Refine Summarization Framework for Professional Articles - Authors: Zehui Liang, Keli Xie, Siyuan Lu, Shiyu Bo, Tuohetiyaer Yeerpan and Zhongfeng Wang
  • [Short Paper] Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering - Authors: Maria Lysyuk, Mikhail Salnikov, Pavel Braslavski and Alexander Panchenko
  • [Full Paper] Body-Shaming Detection and Classification in Italian Social Media - Authors: Francesca Grasso, Alberto Valese and Marta Micheli | (Candidate for best paper award)

4:00 PM - 4:30 PM:

☕ Coffee Break: Cioccolatitaliani, Via Sant'Ottavio, 10124 Torino TO, [Google Maps]

4:30 PM - 6:00 PM: Paper Presentations (Session 3 - Session Chair: Luigi Di Caro)

  • [Short Paper] Issue Links Retrieval for New Issues in Issue Tracking Systems - Authors: Miao Hu, Zhiwei Lin and Adele Marshall
  • [Short Paper] Coherence Graphs: Bridging the Gap in Text Segmentation with Unsupervised Learning - Authors: Amit Maraj, Miguel Martin and Masoud Makrehchi
  • [Short Paper] Automatic Question Answering for the Linguistic Domain – An Evaluation of LLM Knowledge Base Extension with RAG - Authors: Christian Lang, Ngoc Duyen Tanja Tu and Roman Schneider
  • [Short Paper] Evaluation of Gender Bias in Amharic Word Embedding Model - Authors: Beimnet Zenebe, Yalemisew Abgaz and Solomon Gizaw
  • [Short Paper] Effective Context Selection in LLM-based Leaderboard Generation: An Empirical Study - Authors: Salomon Kabongo Kabenamualu, Jennifer D'Souza and Sören Auer
  • [Short Paper] Bridging the Gap: Developing an Automatic Speech Recognition System for Egyptian Dialect Integration into Chatbots - Authors: Mazen Nabil, Aya Abdalla, Nada Sharaf and Caroline Sabty
  • [Short Paper] PashtoEmo: Enhancing Text-Based Emotion Analysis in the Pashto Language through Dataset Creation - Authors: Mohammad Arif Payenda, Abdul Razaq Vahidi, Mohammad Ali Hussiny, Andreas Prinz and Lilja Øvrelid

8:30 PM:

June 26th

9:00 AM - 10:30 AM: Paper Presentations (Session 4 - Session Chair: Ria Hari Gusmita)

  • [Full Paper] Large Language Models for Few-Shot Automatic Term Extraction - Authors: Shubhanker Banerjee, Bharathi Raja Chakravarthi and John McCrae
  • [Full Paper] Data Augmentation Method Utilizing Template Sentences for Variable Definition Extraction - Authors: Kotaro Nagayama, Shota Kato and Manabu Kano
  • [Full Paper] Semi-supervised Named Entity Recognition for Low-Resource Languages using Dual PLMs - Authors: Mehari Yohannes Hailemariam, Steven Lynden, Toshiyuki Amagasa and Akiyoshi Matono
  • [Full Paper] Improved Models for Media Bias Detection and Subcategorization - Authors: Tim Menzner and Jochen L. Leidner
  • [Full Paper] Improving DRS-to-Text Generation through Delexicalization and Data Augmentation - Authors: Muhammad Saad Amin, Luca Anselma and Alessandro Mazzei

10:30 AM - 11:15 AM:

☕ Coffee Break: Caffè Elena, P.za Vittorio Veneto, 5, 10124 Torino TO, [Google Maps]

11:15 AM - 1:00 PM: Paper Presentations (Session 5 - Session Chair: Giovanni Siragusa)

  • [Full Paper] Grounding Toxicity in Real-World Events across Languages - Authors: Wondimagegnhue Tsegaye Tufa, Ilia Markov and Piek Vossen
  • [Full Paper] Unveiling the Hate: Generating Faithful and Plausible Explanations for Implicit and Subtle Hate Speech Detection - Authors: Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio and Serena Villata
  • [Full Paper] The Influence of Iconicity in Transfer Learning for Sign Language Recognition - Authors: Keren Artiaga, Conor Lynch, Haithem Afli and Mohammed Hasanuzzaman
  • [Full Paper] S3: A Simple Strong Sample-Effective Multimodal Dialog System - Authors: Elisei Rykov, Egor Malkershin and Alexander Panchenko | (Candidate for best paper award)
  • [Full Paper] I’ve got the 'Answer'! Interpretation of LLMs Hidden States in Question Answering - Authors: Valeriya Goloviznina and Evgeny Kotelnikov
  • [Short Paper] Question Generation Capabilities of 'Small' Large Language Models - Authors: Joshua Berger, Jonathan Koß, Markos Stamatakis, Anett Hoppe, Ralph Ewerth and Christian Wartena
  • [Short Paper] Detecting Attribute Information in Notice to Airman - Authors: Minal Dani and Maunendra Desarkar

1:00 PM - 2:00 PM: Lunch Break

Lunch not provided by the conference organization.

2:00 PM - 4:00 PM: Paper Presentations (Session 6 - Session Chair: Farid Meziane)

  • [Full Paper] Adaptive Greedy Layer Pruning: Iterative Layer Pruning With Subsequent Model Repurposing - Authors: Tamás Ficsor and Gábor Berend
  • [Short Paper] BEQuizzer: AI-based Quiz Automatic Generation in Portuguese Language - Authors: Victor Sotelo, Julia Tessler, Julio Cesar dos Reis and Rodrigo Bonacin
  • [Full Paper] REA: Refine-Estimate-Answer Prompting for Zero-Shot Relation Extraction - Authors: Amirhossein Layegh, Amir H. Payberah and Mihhail Matskin
  • [Short Paper] Enhancing Natural Language Processing Capabilities in Geriatric Patient Care: An Annotation Scheme and Guidelines - Authors: Imane Guellil, Salomé Andres, Bruce Guthrie, Atul Anand, Huayu Zhang, Abul Kalam Hasan, Honghan Wu and Beatrice Alex
  • [DEMO Paper] A FAIR and Free Prompt-based Research Assistant - Authors: Mahsa Shamsabadi and Jennifer D'Souza
  • [Full Paper] Enhancing Romanian Offensive Language Detection through Knowledge Distillation, Multi-Task Learning and Data Augmentation - Authors: Vlad-Cristian Matei, Iulian-Marius Tăiatu, Răzvan-Alexandru Smădu and Dumitru-Clementin Cercel
  • [Full Paper] Toward Automatic Group Membership Annotation for Group Fairness Evaluation - Authors: Fumian Chen, Dayu Yang and Hui Fang | (Candidate for best paper award)

4:00 PM - 4:30 PM:

☕ Coffee Break: Cioccolatitaliani, Via Sant'Ottavio, 10124 Torino TO, [Google Maps]

4:30 PM - 6:30 PM: Industry Paper Presentations (Session 7 - Session Chair: Luigi Di Caro)

  • [Industry Paper] Adaptation of Large Language Models for the public sector: A clustering use case - Authors: Emilien Caudron, Nathan Ghesquière, Wouter Travers and Alexandra Balahur
  • [Industry Paper] Intelligent Conversational Agent for Medical Information - Authors: Alexandra Zeltsi, Maria Tsourma, Anastasios Alexiadis, Athanasios Mavropoulos, Alexandros Zamichos, Valadis Mastoras, Chrysovalantis-Giorgos Kontoulis, Stelios Andreadis, Anastasia Matonaki, Annamaria Crisan, Ron Segal, and Thanos G. Stavropoulos
  • [Industry Paper] Automated Synonym Discovery for Taxonomy Maintenance using Semantic Search Techniques - Authors: Maziar Moradi Fard, Camilo Thorne, Paula Sorolla Bayod, Saber Akhondi and Wytze Vlietstra
  • [Industry Paper] Learning Section Weights for Multi-Label Document Classification - Authors: Maziar Moradi Fard, Paula Sorolla Bayod, Kiomars Motarjem, Mohammad Alian Nejadi, Camilo Thorne and Saber Akhondi
  • [Industry Paper] A Multilingual NLP Framework for Offshore Installations - Authors: Jennifer Sampson and Peter Koczka
  • [Full Paper] Exploiting Graph Embeddings from Knowledge Bases for Neural Biomedical Relation Extraction - Authors: Anfu Tang, Claire Nédellec, Louise Deléger, Pierre Zweigenbaum and Robert Bossy
  • [Industry Paper] Evaluating Nuanced Bias in Large Language Model Free Response Answers - Authors: Jennifer Healey, Laurie Byrum, Md. Nadeem Akhtar and Moumita Sinha
  • [Industry Paper] CoURAGE : A framework to evaluate RAG systems - Authors: Divyanshi Galla, Shaz Hoda, Meiwei Zhang, Wenzhe Quan, Tommy Dong Yang and Joseph Voyles

8:30 PM: Social Activity (Informal) - Aperitivo @ Snodo/OGR

Not provided by the conference organization.

June 27th

9:00 AM - 10:30 AM: Paper Presentations (Session 8 - Session Chair: Claudio Schifanella)

  • [Full Paper] Shact: Disentangling and Clustering Latent Syntactic Structures from Transformer Encoders - Authors: Alejandro Sierra-Múnera and Ralf Krestel
  • [Full Paper] MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification - Authors: Harrison Gietz and Jugal Kalita
  • [Full Paper] SERIEMA: A Framework to Enhance Clustering Stability, Compactness, and Separation by Fusing Multimodal Data - Authors: Fillipe Santos, Julio Reis and Marcelo Reis | (Candidate for best paper award)
  • [Short Paper] Legal Text Analysis Using Large Language Models in NLP - Authors: Yasir Arfat, Marco. Colella and Enrico Marello
  • [Industry Paper] CCA – A Hybrid Cognitive Contract Application for Identifying Accounting Risks in Contractual Language - Author: Ngoc Phuoc An Vo

10:30 AM - 11:15 AM:

☕ Coffee Break: Caffè Elena, P.za Vittorio Veneto, 5, 10124 Torino TO, [Google Maps]

11:15 AM - 1:00 PM: Paper Presentations (Session 9 - Session Chair: Valerio Basile)

  • [Full Paper] Towards Generating High-Quality Knowledge Graphs by Leveraging Large Language Models - Authors: Morteza Kamaladdini Ezzabady, Frederic Ieng, Hanieh Khorashadizadeh, Farah Benamara, Sven Groppe and Soror Sahri
  • [Full Paper] DeepCodeGraph: A Language Model for Compile-Time Resource Optimization Using Masked Graph Autoencoders - Authors: Federico Cichetti, Emanuele Parisi, Andrea Acquaviva and Francesco Barchi
  • [Full Paper] Design and Implementation of a Natural Language Interface for Controlling the Web of Things Devices - Authors: Zhou Gui, Layla Kuty and Andreas Harth
  • [Full Paper] IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains - Authors: Ria Hari Gusmita, Muhammad Faruq, Diego Moussallem and Axel-Cyrille Ngonga Ngomo
  • [Full Paper] Semantic Multi-Concept Annotation for Tabular Data in Financial Documents - Authors: Rungsiman Nararatwong, Natthawut Kertkeidkachorn, Yuting Shi and Ryutaro Ichise
  • [Short Paper] Large Language Models and Recommendation Systems: A Proof-of-Concept Study on Public Procurements - Authors: Roberto Nai, Emilio Sulis, Ishrat Fatima and Rosa Meo
  • [Short Paper] Exploring the Potential of Large Language Models for Text-Based Personality Prediction - Authors: Maria Molchanova

1:00 PM - 2:00 PM: Lunch Break

Lunch not provided by the conference organization.

2:00 PM - 4:00 PM: Paper Presentations (Session 10 - Session Chair: Federico Torrielli)

  • [Short Paper] Assessing Generative Language Models in Classification Tasks: Performance and Self-Evaluation Capabilities in the Environmental and Climate Change Domain - Authors: Francesca Grasso and Stefano Locci
  • [Full Paper] Automating Gender-Inclusive Language Modification in Italian University Administrative Documents - Authors: Aurora Cerabolini, Gabriella Pasi and Marco Viviani
  • [Full Paper] An SoK of Relation Extraction Techniques in Cyber Threat Intelligence - Authors: Dincy R Arikkat, Vinod P, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera and Mauro Conti
  • [Full Paper] DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection - Authors: Sangpil Youm, Brodie Mather, Chathuri Jayaweera, Juliana Prada and Bonnie Dorr
  • [Short Paper] LISAScore: Exploring Linear Sum Assignment on BERTScore - Authors: Stephen Mander and Jesse Phillips
  • [Short Paper] Enhancing Small Language Models via ChatGPT and Dataset Augmentation - Authors: Tom Pieper, Mohamad Ballout, Ulf Krumnack, Gunther Heidemann and Kai-Uwe Kühnberger
  • [Full Paper] EpidGPT: A Combined Strategy to Discriminate Between Redundant and New Information for Epidemiological Surveillance Systems - Authors: Edmond Menya, Mathieu Roche, Roberto Interdonato and Dickson Owuor

4:00 PM - 4:30 PM:

☕ Coffee Break: Cioccolatitaliani, Via Sant'Ottavio, 10124 Torino TO, [Google Maps]

4:30 PM - 5:00 PM: Keynote Session

Vijayan Sugumaran: Radiotherapy Treatment Plan Optimization for Oropharyngeal Cancer: A Novel Dual-Encoder Graph Convolutional and 3D Convolutional U-Net Model

Automated radiotherapy treatment planning aims to improve treatment accuracy and efficiency. However, the prevalent Knowledge-Based Planning (KBP) method faces issues like lengthy manual problem formulation and challenges in accurately modeling human anatomy and processing high-dimensional data. This work focuses on treatment plan optimization and considers deep learning as a potential solution. Deep learning algorithms, by virtue of their ability to learn from large quantities of data and model complex relationships, can automate the formulation of the optimization problem in KBP, saving significant time and effort. However, despite these compelling advantages, it should be noted that the current convolution-based encoder-decoder models used for radiotherapy treatment plan optimization have a limited capability in capturing long-range dependencies between distant voxels. This work aims to introduce ‘DE-ConvGraph 3D UNet’, a novel deep learning model, to address these limitations and optimize radiotherapy treatment plans for oropharyngeal cancer. The proposed ‘DE-ConvGraph 3D UNet’ model includes a Graph Convolutional Network (GCN) component to capture long-range dependencies between distant voxels. Furthermore, the dual-encoder structure of the model combines the strengths of GCN and 3D Convolutional U-Net, enabling global relationships and local pattern capturing in a 3D patient volume. Experiments were conducted using the benchmark dataset - OpenKBP-Opt. The proposed model shows improvements in performance in comparison to state-of-the-art U-Net variants in terms of mean squared voxel-wise error, dose volume histogram points and clinical criteria satisfaction.

Short Bio

Vijayan Sugumaran is Distinguished University Professor and Janke Scholar of Management Information Systems in the School of Business Administration at Oakland University, Rochester, Michigan, USA. He is also the Chair of the Department of Decision and Information Sciences, Co-Director of the Center for Data Science and Big Data Analytics and Director of the Master of Science in Business Analytics program. He received his Ph.D. in Information Technology from George Mason University, Fairfax, Virginia, USA. His research interests are in the areas of Big Data Management and Analytics, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems. Dr. Sugumaran is the Co-PI on a $2 million NSF grant to train students in STEM-driven data science and entrepreneurship. He has published over 300 peer-reviewed articles in Journals, Conferences, and Books. He is the editor-in-chief of the International Journal of Intelligent Information Technologies and Journal of Web Engineering.

5:00 PM - 6:00 PM: Awards and Closing Ceremony

  • Keynote
  • Best paper award.
  • Acknowledgment of participants and sponsors.
  • Closing remarks by organizers.

8:30 PM: Pizza Party

Not provided by the conference organization.