Fwd: [Corpora-List] 3-year PHD funding at Orsay (near Paris, France)
Camilo Thorne
IBM Knowledge and Language Center - Trento Rise
Via Sommarive 18, Povo di Trento
From: Brigitte Grau <brigit...@limsi.fr>
Date: Wed, Sep 17, 2014 at 7:23 PM
Subject: [Corpora-List] 3-year PHD funding at Orsay (near Paris, France)
To: cor...@uib.no
IRT SystemX and LIMSI offer 3-year PHD funding at Orsay (near Paris, France)
Subject :
Today the number of documents increases rapidly, and moreover
they are produced by multiple sources that can be classified by
type (texts, speech…), by style (blog, forum, tweet, broadcast
news, broadcast conversations, community tv…) and by language
(English, French, Chinese...). Reliability of the information
contained in these documents depends on each kind of source.
Thus, selecting relevant and reliable information from such
documents and summarizing it is problematic.
The goal of the project is to build knowledge bases about persons, products... (i.e. Named Entities). Knowledge will be extracted from multiple documents and will have to be combined by aggregation and data fusion. Thus the information will result from multi-source, multilingual and multimedia document extraction:
- Multi-source: various types of documents (spontaneous, prepared...) and providers of documents (institution, individual, community...);- Multimedia: texts, speech, scanned documents;
- Multilingual: different languages.
The work will focus on information identification, extraction and structuring. Studied issues will be:
- assessment of information reliability;- assessment of information relevance (degree of novelty, scarcity of information);
- detection and classification of contradictions.
The PHD student will handle participation in international evaluation campaigns.
The main location of the PHD student will be IRT, and s/he will be supervised by LIMSI senior researchers.
Supervisors:
Brigitte Grau, Professor at ENSIIE, LIMSI-CNRS
Sophie Rosset, Director of Research, LIMSI-CNRSTECHNICAL
REQUIREMENTS
- Master in Computer Science, specialized in Machine learning
and Natural Language Processing will be appreciated
- Solid programming skills
- A good command of French is a plus
ADDITIONAL INFORMATION
Salary: 2300 euros per month
Benefits: IRT offers a generous benefit package including health
insurance and about 44 days vacation pa.
Duration: 3 years
Start date: as soon as possible
Location: Orsay, greater Paris area, France, is located in a
green area about 30 minutes south of Paris.
TO
APPLY
Please send:
* a cover letter
* a curriculum vitae, including the academic results
* the names and contact information of at least one referee
to both:
Brigitte Grau <b...@limsi.fr>
Sophie Rosset <ros...@limsi.fr>
ABOUT
LIMSI-CNRS
http://www.limsi.fr
LIMSI is a laboratory of the French National Center for Research
(CNRS),
a leading research institution in Europe.
LIMSI is a multi-disciplinary research unit that covers a number
of
fields from thermodynamics to cognition, encompassing fluid
mechanics,
energetics, acoustic and voice synthesis, spoken language and
text
processing, vision, visualisation and perception, virtual and
augmented
reality.
LIMSI hosts about 200 researchers, professors, research support
staff
and graduate students.
ABOUT IRT-System X
An Institute for Technological Research (IRT) is an interdisciplinary thematic institute that develops economic sectors related to its field through a balanced strategic public-private partnership. For this, it manages research programs coupled with technology platforms, conducts research and development projects at the international level, contributes to the engineering of initial and continuous trainings (qualifying professional training and/or degree delivering); and ensures the exploitation of the obtained results.-- http://perso.limsi.fr/Individu/bg/ Groupe ILES - LIMSI Bât. 508, rue John von Neumann 91405 ORSAY Cedex tel. 01 69 85 80 03, fax 01 69 85 80 88 et ENSIIE Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise 1 square de la résistance, 91025 EVRY Cedex tel. 01 69 36 73 44, fax 01 69 36 73 09
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