<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Barcelona, Catalunya, Spain, April</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Workshop on Natural Language Processing for Requirements Engineering (NLP4RE'23)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Sallam Abualhaija</string-name>
          <email>sallam.abualhaija@uni.lu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andreas Vogelsang</string-name>
          <email>vogelsang@cs.uni-koeln.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Gouri Deshpande</string-name>
          <email>gouri.deshpande@ucalgary.ca</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Workshop Proceedings</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>P. Spoletini, D. Amyot. Joint Proceedings of REFSQ-2023 Workshops, Doctoral Symposium, Posters &amp; Tools Track, and</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Gulden, A. Wohlgemuth, A. Hess</institution>
          ,
          <addr-line>S. Fricker, R. Guizzardi, J. Horkof, A. Perini, A. Susi, O. Karras, A. Moreira, F. Dalpiaz</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>In: A. Ferrari</institution>
          ,
          <addr-line>B. Penzenstadler, I. Hadar, S. Oyedeji, S. Abualhaija, A. Vogelsang, G. Deshpande, A. Rachmann, J</addr-line>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Calgary</institution>
          ,
          <country country="CA">Canada</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>University of Cologne</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>University of Luxembourg</institution>
          ,
          <country country="LU">Luxembourg</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2023</year>
      </pub-date>
      <volume>17</volume>
      <issue>2023</issue>
      <abstract>
        <p>Natural language processing (NLP) plays an important role in several areas of software engineering, and requirements engineering (RE) is not an exception. Requirements are generally authored and communicated in textual form and in diferent levels of formality, from structured (e.g., user stories) to unstructured natural language. In the last few years, the advent of massive and heterogeneous sources, such as tweets and app reviews, has attracted even more interest from the RE community, as demonstrated by the increasing number of scientific papers on this topic in conferences like ICSE, RE, and REFSQ. Furthermore, the possibility to integrate textual data with other sources of information, as voice, biofeedback, and graphical languages that is made possible by novel technologies, further increases the potential impact of NLP4RE research.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Preface</title>
      <p>highlighted the open challenges, and provided empirically-based guidelines for safe (re)use of
SE-specific tools in order to obtain meaningful results.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Program Committee</title>
      <p>We warmly thank all the reviewers of our Program Committee (PC), who helped in the selection
of the papers by providing timely and accurate reviews. The PC members of NLP4RE’23 are:
• Muhammad Abbas, RISE Research Institute, Sweden
• Chetan Arora, Deakin University, Australia
• Fatma Başak Aydemir, Boğaziçi University, Turkey
• Dan Berry, University of Waterloo, Canada
• Fabiano Dalpiaz, Utrecht University, The Netherlands
• Davide Dell’Anna, TuDelft, The Netherlands
• Henning Femmer, Fachhochschule Südwestfalen, Germany
• Xavier Franch, Universitat Politècnica de Catalunya, Spain
• Julian Frattini, Blekinge Institute of Technology, Sweden
• Davide Fucci, Blekinge Institute of Technology, Sweden
• Sepideh Ghanavati, University of Maine, USA
• Eduard Groen, Fraunhofer IESE, Germany
• Frank Houdek, Daimler Ag, Germany
• Clara Lüders, University of Hamburg, Germany
• Lloyd Montgomery, University of Hamburg, Germany
• Nan Niu, University of Cincinnati, USA
• Barbara Paech, Universität Heidelberg, Germany
• Mehrdad Sabetzadeh, University of Ottawa, Canada
• Michael Unterkalmsteiner, Blekinge Institute of Technology, Sweden
• Liping Zhao, University of Manchester, UK
• Han van der Aa, University of Mannheim, Germany
• Sylwia Kopczyńska, Poznan University of Technology, Poland
• Luisa Mich, University of Trento, Italy
• Nicolas Sannier, University of Luxembourg, Luxembourg</p>
    </sec>
  </body>
  <back>
    <ref-list />
  </back>
</article>