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<!DOCTYPE html>
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<meta property="og:title" content="X-TAIL Workshop" />
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<li class="nav-item"><a class="nav-link" href="#about">About</a></li>
<li class="nav-item"><a class="nav-link" href="#callforpapers">Call for Papers</a></li>
<li class="nav-item"><a class="nav-link" href="#dates">Important Dates</a></li>
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<li class="nav-item"><a class="nav-link" href="#Program">Workshop Program</a></li>
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<strong>X-TAIL:</strong> eXtraction and eXploitation<br />
of long-TAIL Knowledge with LLMs and KGs
</td>
</tr>
<tr>
<td class="masthead-subheading">1st Workshop co-located with <a href="https://event.cwi.nl/ekaw2024/" target="_blank">EKAW-24</a>, Amsterdam, Netherlands</td>
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<a href="https://easychair.org/conferences/?conf=xtail2024" target="_blank" class="btn btn-primary mx-1 mt-4">Submit Papers</a>
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<h2 class="section-heading text-uppercase">About</h2>
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<div class="text-content">
<p><strong>Large Language Models (LLMs)</strong> store extensive knowledge within their parameters, easily accessible through natural language interaction. However, they struggle when probed for <strong>long-tail knowledge</strong> (information rarely encountered during training). Conversely, <strong>Knowledge Graphs (KGs)</strong> excel at structuring specialized information but are often incomplete. Leveraging the parametric knowledge of LLMs and the authoritative knowledge stored in KGs could advance long-tail knowledge extraction and enhance its exploitation.
<p>The first edition of <strong>“X-TAIL, eXtraction and eXploitation of long-TAIL knowledge”</strong> aims to attract researchers and practitioners operating at the intersection of KGs and Generative AI. X-TAIL offers an opportunity to engage in interdisciplinary discussions focusing on non-standard sources or working on methods and tools designed to aid in such scenarios.</p>
</div>
</div>
</section>
<!-- Call for Papers Section -->
<section class="page-section" id="callforpapers">
<div class="container">
<div class="text-center">
<h2 class="section-heading text-uppercase">Call for Papers</h2>
</div>
<div class="text-content">
<p class="alert"><strong>Submissions will be published in CEUR-WS proceedings.</strong></p>
<p>The main topics of interest are:</p>
<ul>
<li><strong>Knowledge Extraction from non-standard unstructured sources:</strong>
<ul>
<li>Relation extraction</li>
<li>Entity Linking for long-tail entities</li>
<li>KG completion techniques for long-tail entities</li>
</ul>
</li>
<li><strong>Knowledge Probing:</strong>
<ul>
<li>Investigations on biases hindering memorisation and generalisation capabilities of LLMs</li>
<li>Knowledge retention biases mitigation through KGs</li>
</ul>
</li>
<li><strong>Development and combined use of LLMs and KGs in domain-specific data, for instance, but not limited to:</strong>
<ul>
<li>Cultural Heritage preservation</li>
<li>Digital humanities, sustainability, and industry-related applications</li>
</ul>
</li>
<li><strong>Multi-modal Retrieval-augmented Generation (RAG) techniques:</strong>
<ul>
<li>Advanced question answering, search engines, content creation and summarisation, conversational agents and chatbots, information retrieval and knowledge engines with RAG on structured and unstructured sources</li>
<li>Natural language queries over KGs through RAG</li>
<li>Text generation systems based on KGs and/or LLMs through RAG</li>
</ul>
</li>
</ul>
<p>Submission <strong>format</strong> and <strong>guidelines</strong>:</p>
<ul>
<li><strong>Papers must be submitted in PDF format</strong> according to the <a href="https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw" target="_blank">CEUR-WS template</a> published in the CEUR-WS guidelines.</li>
<li><strong>Long papers</strong> should be <strong>between 10 and 15 pages</strong>, including references.</li>
<li><strong>Short papers</strong> should be <strong>between 5 and 9 pages</strong>, including references.</li>
<li><strong>Workshop papers must be self-contained and in English.</strong></li>
<li><strong>At least one author of each accepted workshop paper has to register for the conference.</strong></li>
<li><strong>Workshop attendance is only granted to registered conference participants.</strong></li>
</ul>
</div>
</section>
<!-- Important Dates Section -->
<section class="page-section" id="dates">
<div class="container">
<div class="text-center">
<h2 class="section-heading text-uppercase">Important Dates</h2>
<p class="alert announcement"><strong>Call for papers is now closed.</strong></p>
</div>
<div class="text-content">
<ul>
<li><strong>Abstract Registration Deadline:</strong> <del>September 8th, 2024</del> <strong>September 13th, 2024</strong></li>
<li><strong>Workshop Papers Submission Deadline:</strong> <del>September 17th, 2024</del> <del>September 24th, 2024</del> <strong>September 27th, 2024</strong></li>
<li><strong>Workshop Papers Notification:</strong> <del>October 15th, 2024</del></li>
<li><strong>Early Bird Registration:</strong> <del>October 17th, 2024</del></li>
<li><strong>Workshop Papers Camera Ready:</strong> <strong>November 20th, 2024</strong></li>
<li><strong>Workshop Day:</strong> <strong>November 26th, 2024</strong></li>
<li><strong>Conference Days:</strong> November 26-28th, 2024</li>
<p class="alert announcement"><strong>All deadlines are to be considered 23:59 AoE.</strong></p>
</ul>
</div>
</div>
</section>
<!-- Organising Committee Section -->
<section class="page-section" id="team">
<div class="container">
<div class="text-center">
<h2 class="section-heading text-uppercase">Organising Committee</h2>
</div>
<div class="row mt-5">
<div class="col-xl-3 col-lg-4 col-md-6 col-sm-6 my-2">
<div class="card text-center h-100" id="organizer1">
<img src="img/arianna_graciotti.jpeg" class="card-img-top" alt="Arianna Graciotti">
<div class="card-body d-flex flex-column">
<h5 class="card-title"><strong>Arianna Graciotti</strong></h5>
<p class="card-text">University of Bologna <br> Italy</p>
<div class="mt-auto">
<a href="https://www.unibo.it/sitoweb/arianna.graciotti/en" target="_blank" class="btn btn-primary mx-1">Webpage</a>
<a href="mailto:[email protected]" class="btn btn-primary mx-1">E-mail</a>
</div>
</div>
</div>
</div>
<div class="col-xl-3 col-lg-4 col-md-6 col-sm-6 my-2">
<div class="card text-center h-100" id="organizer2">
<img src="img/alba-morales-tirado.jpg" class="card-img-top" alt="Alba Morales Tirado">
<div class="card-body d-flex flex-column">
<h5 class="card-title"><strong>Alba Morales Tirado</strong></h5>
<p class="card-text">Knowledge Media institute - Open University <br> United Kingdom</p>
<div class="mt-auto">
<a href="https://kmi.open.ac.uk/people/member/alba-morales-tirado" target="_blank" class="btn btn-primary mx-1">Webpage</a>
<a href="mailto:[email protected]" class="btn btn-primary mx-1">E-mail</a>
</div>
</div>
</div>
</div>
<div class="col-xl-3 col-lg-4 col-md-6 col-sm-6 my-2">
<div class="card text-center h-100" id="organizer3">
<img src="img/valentina.jpg" class="card-img-top" alt="Valentina Presutti">
<div class="card-body d-flex flex-column">
<h5 class="card-title"><strong>Valentina Presutti</strong></h5>
<p class="card-text">University of Bologna <br> Italy</p>
<div class="mt-auto">
<a href="https://www.unibo.it/sitoweb/valentina.presutti" target="_blank" class="btn btn-primary mx-1">Webpage</a>
<a href="mailto:[email protected]" class="btn btn-primary mx-1">E-mail</a>
</div>
</div>
</div>
</div>
<div class="col-xl-3 col-lg-4 col-md-6 col-sm-6 my-2">
<div class="card text-center h-100" id="organizer4">
<img src="img/enrico_motta.jpg" class="card-img-top" alt="Enrico Motta">
<div class="card-body d-flex flex-column">
<h5 class="card-title"><strong>Enrico Motta</strong></h5>
<p class="card-text">Knowledge Media institute - Open University <br> United Kingdom</p>
<div class="mt-auto">
<a href="http://people.kmi.open.ac.uk/motta/" target="_blank" class="btn btn-primary mx-1">Webpage</a>
<a href="mailto:[email protected]" class="btn btn-primary mx-1">E-mail</a>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Program Committee Section -->
<section class="page-section" id="pc">
<div class="container">
<div class="text-center">
<h2 class="section-heading text-uppercase">Program Committee</h2>
</div>
<div class="text-content">
<ul>
<li><strong>Aldo Gangemi</strong>, University of Bologna, Italy</li>
<li><strong>Andrea Schimmenti</strong>, University of Bologna, Italy</li>
<li><strong>Andrea Zugarini</strong>, expert.ai, Italy</li>
<li><strong>Angelo Salatino</strong>, Open University, UK</li>
<li><strong>Antonello Meloni</strong>, University of Cagliari, Italy</li>
<li><strong>Benno Kruit</strong>, Vrije Universiteit Amsterdam</li>
<li><strong>Bohui Zhang</strong>, King's College London, UK</li>
<li><strong>Célian Ringwald</strong>, Inria Université Côte d'Azur, I3S, CNRS</li>
<li><strong>Chiara di Bonaventura</strong>, King's College London, UK</li>
<li><strong>Delfina Sol Martinez Pandiani</strong>, Centrum Wiskunde & Informatica, Netherlands</li>
<li><strong>Diego Reforgiato</strong>, University of Cagliari, Italy</li>
<li><strong>Gianmarco Pappacoda</strong>, University of Bologna, Italy</li>
<li><strong>Harald Sack</strong>, FIZ Karlsruhe, Germany</li>
<li><strong>Jan-Christoph Kalo</strong>, University of Amsterdam, Netherlands</li>
<li><strong>Mahsa Vafaie</strong>, FIZ Karlsruhe, Germany</li>
<li><strong>Nicolas Lazzari</strong>, University of Pisa/University of Bologna, Italy</li>
<li><strong>Rocco Tripodi</strong>, University of Venice, Italy</li>
<li><strong>Stefano De Giorgis</strong>, CNR Catania/University of Bologna, Italy</li>
<li><strong>Tabea Tietz</strong>, FIZ Karlsruhe, Germany</li>
</ul>
</div>
</div>
</section>
<!-- Program Section -->
<section class="page-section" id="Program">
<div class="container">
<div class="text-center">
<h2 class="section-heading text-uppercase">Workshop Program</h2>
</div>
<div class="text-content">
<p>The workshop is co-located with <strong>EKAW-2024</strong> and will be held on <strong>November 26th</strong> in Amsterdam. For more information about the exact location of the workshop, please visit this <a href="https://event.cwi.nl/ekaw2024/program.html" target="_blank">link</a>.</p>
<table class="table table-bordered table-striped">
<thead>
<tr>
<th>Time</th>
<th>Activity</th>
<th>Details</th>
<th>Slides</th>
</tr>
</thead>
<tbody>
<tr>
<td>9:00 - 9:10</td>
<td>Welcome and Introduction</td>
<td><em>Welcome and overview of the workshop.</em></td>
<td><a></a></td>
</tr>
<tr>
<td>9:10 - 10:00</td>
<td>[Keynote]</td>
<td><em>What do Large Language Models "know" about the World?</em> (Jan-Cristophe Kalo, UvA)</td>
<td><a href="slides/XTAIL2024_Keynote_JKhalo[261124].pdf" target="_blank">Download Slides</a></td>
</tr>
<tr>
<td>10:00 - 10:30</td>
<td>[Paper Presentation]</td>
<td><em>Named Entity Recognition in Historical Italian: The Case of Giacomo Leopardi's Zibaldone.</em> (Cristian Santini, Laura Melosi, and Emanuele Frontoni)</td>
<td><a href="slides/NER_for_Historical_Italian_Santinietal[261124].pdf" target="_blank">Download Slides</a></td>
</tr>
<tr>
<td>10:30 - 11:00</td>
<td>Coffee Break</td>
<td></td>
<td></td>
</tr>
<tr>
<td>11:00 - 11:30</td>
<td>[Paper Presentation]</td>
<td><em>Evaluation of LLMs on Long-tail Entity Linking in Historical Documents.</em> (Marta Boscariol, Luana Bulla, Lia Draetta, Beatrice Fiumanò, Emanuele Lenzi, and Leonardo Piano)</td>
<td><a href="slides/LLMs_Eval_onLong-tail_EL_in_HD_Boscarioletal[261124].pdf" target="_blank">Download Slides</a></td>
</tr>
<tr>
<td>11:30 - 12:00</td>
<td>[Paper Presentation]</td>
<td><em>Constrained Information Retrieval for Long-Tail Knowledge Extraction.</em> (Nicolas Lazzari, Arianna Graciotti, and Valentina Presutti)</td>
<td><a href="slides/CIR_4LT_KE_Lazzarietal[261124].pdf" target="_blank">Download Slides</a></td>
</tr>
<tr>
<td>12:00 - 12:20</td>
<td>Discussion & Feedback</td>
<td><em>Open discussion and feedback session with all participants.</em></td>
<td></td>
</tr>
<tr>
<td>12:20 - 12:30</td>
<td>Closure</td>
<td><em>Wrap-up and final remarks.</em></td>
<td></td>
</tr>
</tbody>
</table>
</div>
</div>
</section>
<!-- Keynote Speakers Section -->
<section class="page-section" id="speakers">
<div class="container">
<div class="text-center">
<h2 class="section-heading text-uppercase">Keynote Speaker</h2>
</div>
<div class="row justify-content-center mt-5">
<div class="col-xl-4 col-lg-4 col-md-6 col-sm-8 my-2">
<div class="card text-center h-100" id="keynote1">
<img src="img/jc_kalo.jpeg" class="card-img-top keynote-img" alt="Keynote Speaker">
<div class="card-body d-flex flex-column">
<h5 class="card-title"><strong>Jan-Christoph Kalo</strong></h5>
<p class="card-text">University of Amsterdam<br> Netherlands</p>
<div class="accordion mt-3" id="keynoteAccordion">
<div class="accordion-item">
<h2 class="accordion-header" id="headingBio">
<button class="accordion-button" type="button" data-bs-toggle="collapse" data-bs-target="#collapseBio" aria-expanded="true" aria-controls="collapseBio">
Bio
</button>
</h2>
<div id="collapseBio" class="accordion-collapse collapse show" aria-labelledby="headingBio" data-bs-parent="#keynoteAccordion">
<div class="accordion-body">
<p class="card-text">Jan-Christoph Kalo obtained a Ph.D. from TU Braunschweig, Germany. Between 2021 and 2023 he was a postdoctoral researcher in the Learning and Reasoning Group at the Vrije Universiteit Amsterdam. Since 2023 he is an Assistant Professor at the University of Amsterdam. His research focuses on knowledge graphs, data integration, and querying. His main research focus is the combination of large language models and knowledge graphs. He is co-organizer of the LM-KBC challenge and KBC-LM workshop at International Semantic Web Conference (ISWC).</p>
</div>
</div>
</div>
<div class="accordion-item">
<h2 class="accordion-header" id="headingTitle">
<button class="accordion-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#collapseTitle" aria-expanded="false" aria-controls="collapseTitle">
Talk Title
</button>
</h2>
<div id="collapseTitle" class="accordion-collapse collapse" aria-labelledby="headingTitle" data-bs-parent="#keynoteAccordion">
<div class="accordion-body">
<p class="card-text"><strong>What do Large Language Models know about the World?</strong></p>
</div>
</div>
</div>
<div class="accordion-item">
<h2 class="accordion-header" id="headingAbstract">
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Talk Abstract
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<div id="collapseAbstract" class="accordion-collapse collapse" aria-labelledby="headingAbstract" data-bs-parent="#keynoteAccordion">
<div class="accordion-body">
<p class="card-text">Large Language Models (LLMs) have emerged as a vital tool for knowledge-intensive applications, prompting debates on whether they could replace knowledge graphs.
LLMs possess extensive knowledge, but questions remain about the depth and accuracy of this knowledge.
By analyzing what LLMs truly "know" and comparing it to the structured information in knowledge graphs, we aim to uncover the strengths and limitations of LLMs in representing and utilizing world knowledge.
We will explore the extent of LLMs' understanding, examining the origins of their knowledge.</p>
</div>
</div>
</div>
</div>
<div class="mt-auto">
<a href="https://www.uva.nl/en/profile/k/a/j.c.kalo/j.c.kalo.html" target="_blank" class="btn btn-primary my-2">Webpage</a>
<a href="mailto:[email protected]" class="btn btn-primary my-2">E-mail</a>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
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<p>For any inquiries, please contact us at X-TAIL workshop email address: <a href="mailto:[email protected]">[email protected]</a>.</p>
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Copyright © X-TAIL Workshop 2024. Logo illustration, our beloved mascotte <em>Tailor the T-Rex</em>, is created with love by
<a href="https://www.instagram.com/marco_smacchia/" target="_blank">Marco Smacchia</a>. We extend our heartfelt thanks to him!
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