<!DOCTYPE html>
<!-- CEURVERSION=2020-07-09 -->
<html lang="en">
<head>
<meta http-equiv="Content-type" content="text/html;charset=utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" type="text/css" href="../ceur-ws.css">
<title>CEUR-WS.org/Vol-3274 - Knowledge Base Construction from Pre-trained Language Models 2022</title>
</head>
<!--CEURLANG=eng -->
<body>


<table style="border: 0; border-spacing: 0; border-collapse: collapse; width: 95%">
<tbody><tr>
<td style="text-align: left; vertical-align: middle">
<a href="http://ceur-ws.org/"><div id="CEURWSLOGO"></div></a>
</td>
<td style="text-align: right; vertical-align: middle">
<div style="float:left" id="CEURCCBY"></div>
<span class="CEURVOLNR">Vol-3274</span> <br>
<span class="CEURURN">urn:nbn:de:0074-3274-C</span>
<p class="unobtrusive copyright" style="text-align: justify">Copyright &copy; 2022 for 
the individual papers by the papers' authors. 
Copyright &copy; <span class="CEURPUBYEAR">2022</span> 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
<A HREF="https://creativecommons.org/licenses/by/4.0/">(<span class="CEURLIC">CC BY 4.0</span>)</A>.</p>
</td>
</tr>
</tbody></table>

<hr>


<br><br><br>

<h1><a href="http://www.workshop-website.org/loc"><span class="CEURVOLACRONYM">LM-KBC 2022</span></a><br>
<span class="CEURVOLTITLE">Knowledge Base Construction from Pre-trained Language Models 2022</span></h1>
<br>

<h3>
<span class="CEURFULLTITLE">Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022</span><br>
co-located with the 21st International Semantic Web Conference (<span class="CEURCOLOCATED">ISWC2022</span>)<br>
</h3>
<h3><span class="CEURLOCTIME">Virtual Event, Hanghzou, China, October 2022</span>.</h3> 

<br>
<b> Edited by </b>
<p>

</p><h3>
   <span class="CEURVOLEDITOR">Sneha Singhania</span><br>
   <span class="CEURVOLEDITOR">Tuan-Phong Nguyen</span><br>
   <span class="CEURVOLEDITOR">Simon Razniewski</span><br>   

</h3>

* <a href="https://www.mpi-inf.mpg.de/home/">Max Planck Institute for Informatics</a>,
  Saarbrücken, Germany<br>
  <br>

<hr>

<br><br><br>



<div class="CEURTOC">
<h2> Table of Contents </h2>

<h3><span class="CEURSESSION">Challenge overview</span></h3>


<ul>
<li id="paper0"><a href="paper1.pdf">
    <span class="CEURTITLE">LM-KBC: Knowledge Base Construction from Pre-trained Language Models</span></a>
<span class="CEURPAGES">1-10</span> <br>
<span class="CEURAUTHOR">Sneha Singhania</span>,
<span class="CEURAUTHOR">Tuan-Phong Nguyen</span>,
<span class="CEURAUTHOR">Simon Razniewski</span>
<br>
<br>
Summary: There were a total of 8 submissions to the two tracks of the challenge. Out of these, <span class="CEURSUBMITTEDPAPERS">6</span> teams submitted a paper for peer review (including one dataset paper). We accepted all <span class="CEURACCEPTEDPAPERS">6</span> papers for this volume.
</li>
</ul>
<BR>

<h3><span class="CEURSESSION">System papers</span></h3>
<ul>


<li id="paper2"><a href="paper2.pdf">
<span class="CEURTITLE">Prompting as Probing: Using Language Models for Knowledge Base Construction</span></a>
<span class="CEURPAGES">11-34</span> <br>
<span class="CEURAUTHOR">Dimitrios Alivanistos</span>, 
<span class="CEURAUTHOR">Selene Baez Santamaria</span>, 
<span class="CEURAUTHOR">Michael Cochez</span>,
<span class="CEURAUTHOR">Jan-Christoph Kalo</span>, 
<span class="CEURAUTHOR">Emile van Krieken</span>, 
<span class="CEURAUTHOR">Thiviyan Thanapalasingam</span>
</li>

<li id="paper3"><a href="paper3.pdf">
<span class="CEURTITLE">Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models</span></a>
<span class="CEURPAGES">35-45</span> <br>
<span class="CEURAUTHOR">Tianyi Li</span>, 
<span class="CEURAUTHOR">Wenyu Huang</span>, 
<span class="CEURAUTHOR">Nikos Papasarantopoulos</span>, 
<span class="CEURAUTHOR">Pavlos Vougiouklis</span>,
<span class="CEURAUTHOR">Jeff Z. Pan</span>
</li>

<li id="paper4"><a href="paper4.pdf">
<span class="CEURTITLE">Knowledge Base Construction from Pre-trained Language Models by Prompt learning</span></a>
<span class="CEURPAGES">46-54</span> <br>
<span class="CEURAUTHOR">Xiao Ning</span>, 
<span class="CEURAUTHOR">Remzi Celebi</span>
</li>

<li id="paper5"><a href="paper5.pdf">
<span class="CEURTITLE">Prompt Design and Answer Processing for Knowledge Base Construction from Pre-trained Language Models</span></a>
<span class="CEURPAGES">55-66</span> <br>
<span class="CEURAUTHOR">Xiao Fang</span>, 
<span class="CEURAUTHOR">Alex Kalinowski</span>, 
<span class="CEURAUTHOR">Haoran Zhao</span>, 
<span class="CEURAUTHOR">Ziao You</span>, 
<span class="CEURAUTHOR">Yuhao Zhang</span>, 
<span class="CEURAUTHOR">Yuan An</span> 
</li>

<li id="paper6"><a href="paper6.pdf">
<span class="CEURTITLE">Manual Prompt Generation For Language Model Probing</span></a>
<span class="CEURPAGES">67-76</span> <br>
<span class="CEURAUTHOR">Sumit Dalal</span>, 
<span class="CEURAUTHOR">Abhisek Sharma</span>, 
<span class="CEURAUTHOR">Sarika Jain</span>, 
<span class="CEURAUTHOR">Mayank Dave</span> 
</li>




</div>


<hr>
<span class="unobtrusive">
2022-10-12: submitted by Simon Razniewski, 
            metadata incl. bibliographic data published under <A HREF="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons CC0</A><br>
<span class="CEURPUBDATE">yyyy-mm-dd</span>: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
	|<a href="https://validator.w3.org/nu/?doc=http%3A%2F%2Fceur-ws.org%2FVol-3274%2F">valid HTML5</a>|
</span>
</body></html>
