Sujet de these: PhD Position, Data-to-Text Generation for the Semantic Web, Nancy

[Thierry Hamon]

Date: Thu, 10 Jul 2014 11:49:17 +0200
From: Claire Gardent <claire.gardent at loria.fr>
Message-ID: <CAKxJxsy8Lq-AD2NGLXK1Q2rm1U5z+4mMwFOsJQdeWMCP=2+gAQ at mail.gmail.com>
X-url: https://itea3.org/project/modelwriter-1.html
X-url: http://talc1.loria.fr/synalp/stories/about.html
X-url: http://en.nancy-tourisme.fr/

                    [Apologies for cross-postings]

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       PHD STUDENTSHIP in  NATURAL LANGUAGE GENERATION

         Starting date: Fall 2014  Duration: 3 years

         Deadline for Application: Open until Filled

        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The Research Group in Computational Linguistics, Synalp/LORIA in Nancy
(France) invites applications for a three-year-funded PhD studentship in
Computational Linguistics.

Theme: Data-to-Text Generation
Funded by the ITEA ModelWriter Project
Main topic: Natural Language Generation for the Semantic Web

Description: There is a growing need in the semantic web (SW) community
for technologies that give humans easy access to the machine-oriented
Web of data. Because it maps data to text, Natural Language Generation
(NLG) provides a natural mean for presenting this data in an organized,
coherent and accessible way. Conversely, the representation languages
used by the semantic web (e.g., OWL ontologies and RDF data) are a
natural starting ground for NLG systems. The aim of the PhD thesis will
be to explore the interaction between the semantic web, the textual web
and Natural Language Generation (NLG). More precisely, the goal will be
to develop generic weakly supervised methods for generating text from
semantic web data in particular, content selection and verbalisation
methods.

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 high level academic partners with
internationally recognised expertise in both NLG (LORIA) and knowledge
processing (KRDB, SRI).

Profile: We are looking for outstanding young research scientists with a
good honours degree in Computational Linguistics or Computer Science,
with programming skills and with a strong interest in Natural Language
Processing.

 Required skills:
 - Master's degree in Computational Linguistics or Computer Science
 - experience in Natural Language Processing
 - good command of the English language

 Desirable skills:
 - experience in natural language generation

Supervisor:
- Claire Gardent, http://www.loria.fr/~gardent/

Research Environment: LORIA is a computer science research unit which
conducts most of its scientific activities in partnership with the Inria
Nancy - Grand-Est Centre, the French National Centre for Scientific
Research (CNRS), the University of Lorraine. We also maintain close ties
with research institutes and universities from the wider region, notably
in Saarbrücken and Luxembourg. With around 500 staff and 27 research
teams, it is one of the biggest research unit in Lorraine. It conducts
research in Algorithms, Computation, Image & Geometry; Formal methods;
Networks, Systems and Services; Knowledge & Natural Language Processing;
and Complex Systems & Artificial Intelligence.

The PhD will be funded by the ITEA3 ModelWriter project
(https://itea3.org/project/modelwriter-1.html) for a period of 36
months.  Including industrial and academic partners from France, Belgium
and Turkey, this projects targets the Development of an integrated
authoring environment combining a semantic parser, a data-to-text
generator and Knowledge Capture Tools.

The PhD Candidate will be working in collaboration with the members of
the Synalp team (http://talc1.loria.fr/synalp/stories/about.html), a
Research Group in Computational Linguistics. Synalp research focuses on
hybrid, symbolic and statistical approaches to natural language
processing and applications built thereon, including NLP for Man-Machine
Dialog, for language learning and for Data Verbalisation.

Location: Nancy (http://en.nancy-tourisme.fr/) is a high-tech city
located at the heart of the Lorraine Region, in outstanding scientific
and natural surroundings. It is 1h30 by train from Paris, Germany and
Luxemburg and 1h from Paris Roissy international airport.

To apply, please send CV, Transcripts of Records for Master degree and
either Reference letters or Referee names to :

    Claire Gardent, claire.gardent at loria.fr

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