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<p class="MsoNormal">Call for Participation:</p>
<p class="MsoNormal"><b>Workshop on Natural Language Generation for Human-Robot Interaction</b><o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal">A full-day workshop to be held as part of INLG 2018<o:p></o:p></p>
<p class="MsoNormal">8 November 2018<o:p></o:p></p>
<p class="MsoNormal">Tilburg, Netherlands<o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal">Workshop website: <a href="http://purl.org/net/nlg-hri-workshop-2018/">
http://purl.org/net/nlg-hri-workshop-2018/</a> <o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo1">Programme:
<a href="https://hbuschme.github.io/nlg-hri-workshop-2018/programme/">https://hbuschme.github.io/nlg-hri-workshop-2018/programme/</a><o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo1">List of accepted papers:
<a href="https://hbuschme.github.io/nlg-hri-workshop-2018/accepted-papers/">https://hbuschme.github.io/nlg-hri-workshop-2018/accepted-papers/</a>
<o:p></o:p></li></ul>
<p class="MsoNormal">Registration: <a href="https://inlg2018.uvt.nl/registration-for-inlg-2018/">
https://inlg2018.uvt.nl/registration-for-inlg-2018/</a><o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo1">Early-bird deadline
<b>27 October 2018</b><o:p></o:p></li></ul>
<p class="MsoNormal">Contact email: <a href="mailto:nlghri2018@easychair.org">nlghri2018@easychair.org</a>
<o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal"><b>Workshop overview</b><o:p></o:p></p>
<p class="MsoNormal">The research area of human–robot interaction has the goal to develop robotic agents that exhibit socially intelligent behaviour while interacting with human partners. Despite the clear relationship between social intelligence and fluent,
flexible linguistic interaction, in practice few interactive robots employ anything beyond a simple template-based process when generating output. Developers of robot systems often do not take advantage of the flexibility afforded by natural language generation
when generating output in interactive settings and dynamic environments or when output must be generated in different contexts or multiple target languages.<br>
<br>
In similar fashion, interactive settings and dynamic environments open up interesting research problems in generation, which have not received much attention in the natural language generation community, yet. HRI researchers will bring these challenges to the
workshop and with them their expertise on dynamic, uncertain representations of context, real-time planning, and computational perspectives on studying and modelling interaction.<o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal">As the goal of the workshop is to bring together researchers from two communities so that they can discover common tasks and goals, we aim for a format that encourages discussion and discovery of research topics and open issues relevant
to both research areas. <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Organisers</b><o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
<p class="MsoNormal">Mary Ellen Foster (University of Glasgow)<br>
Hendrik Buschmeier (Bielefeld University)<br>
Dimitra Gkatzia (Edinburgh Napier University)<o:p></o:p></p>
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