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UID:/NewsandEvents/Archives/2014/newsitem/5846/PhD
 -Studentship-in-Natural-Language-Generation
DTSTAMP:20140713T000000
SUMMARY:PhD Studentship in  Natural Language Gener
 ation
DTSTART;VALUE=DATE:20140710
DTEND;VALUE=DATE:20141010
LOCATION:CNRS/LORIA, Nancy (France)
ATTENDEE;ROLE=Supervisor:Claire Gardent
DESCRIPTION:The Research Group in Computational Li
 nguistics, Synalp/LORIA in Nancy (France) invites 
 applications for a three-year-funded PhD studentsh
 ip in Computational Linguistics.   There is a grow
 ing need in the semantic web (SW) community for te
 chnologies that give humans easy access to the mac
 hine-oriented Web of data. Because it maps data to
  text, Natural Language Generation (NLG) provides 
 a natural mean for presenting this data in an orga
 nized, coherent and accessible way. Conversely, th
 e representation languages used by the semantic we
 b (e.g., OWL ontologies and RDF data) are a natura
 l starting ground for NLG systems. The aim of the 
 PhD thesis will be to explore the interaction betw
 een the semantic web, the textual web and Natural 
 Language Generation (NLG). More precisely, the goa
 l will be to develop generic weakly supervised met
 hods for generating text from semantic web data in
  particular, content selection and verbalisation m
 ethods.  The project will build on an ongoing coll
 aboration between LORIA (Nancy, France), the KRDB 
 group at (Bolzano, Italy) and Stanford Research In
 ternational (USA), bringing together high level ac
 ademic partners with internationally recognised ex
 pertise in both NLG (LORIA) and knowledge processi
 ng (KRDB, SRI).  Deadline: open until filled. For 
 more information, see http://www.loria.fr/~gardent
 /phdtopic.html
X-ALT-DESC;FMTTYPE=text/html:\n        <p>The Rese
 arch Group in Computational Linguistics, Synalp/LO
 RIA in Nancy (France) invites applications for a t
 hree-year-funded PhD studentship in Computational 
 Linguistics. </p>\n        <p>There is a growing n
 eed in the semantic web (SW) community for technol
 ogies that give humans easy access to the machine-
 oriented Web of data. Because it maps data to text
 , Natural Language Generation (NLG) provides a nat
 ural mean for presenting this data in an organized
 , coherent and accessible way. Conversely, the rep
 resentation languages used by the semantic web (e.
 g., OWL ontologies and RDF data) are a natural sta
 rting ground for NLG systems. The aim of the PhD t
 hesis will be to explore the interaction between t
 he semantic web, the textual web and Natural Langu
 age Generation (NLG). More precisely, the goal wil
 l be to develop generic  weakly supervised  method
 s for generating text from semantic web data in pa
 rticular, content selection and verbalisation meth
 ods.</p>\n        <p>The project will build on an 
 ongoing collaboration between LORIA (Nancy, France
 ), the KRDB group at (Bolzano, Italy) and Stanford
  Research International (USA), bringing together h
 igh level academic partners with internationally r
 ecognised expertise in both NLG (LORIA) and knowle
 dge processing (KRDB, SRI).</p>\n    \n        <p>
 Deadline: open until filled. For more information,
  see <a target="_blank" href="http://www.loria.fr/
 ~gardent/phdtopic.html">http://www.loria.fr/~garde
 nt/phdtopic.html</a></p>\n    
URL:/NewsandEvents/Archives/2014/newsitem/5846/PhD
 -Studentship-in-Natural-Language-Generation
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