[Elsnet-list] [jobs] Open positions in the Inria's Alpage project

Djamé Seddah djame.seddah at paris-sorbonne.fr
Wed Jan 20 01:49:11 CET 2010

*** Apologies for multiple posting ***

Job announcement: Postdoc and engineer positions at the INRIA's Alpage  
Specialty Areas: Computational Linguistics, Information Extraction,  
software development
Location:  Paris & Paris-Roquencourt, Inria, France
Starting date: as soon as possible
Deadline for application: February 5, 2010, but will stay open until  
these positions are completed
Duration:  up to 12 months
Contact: Eric.De_La_Clergerie at inria.fr, laurence.danlos at linguist.jussieu.fr


The Alpage project (http://alpage.inria.fr/index.en.html) has  
currently 2 open positions. These positions can lead either to a  
research subject or to a pure software engineering work.
These positions are funded by the Scribo project (http://www.scribo.ws/xwiki/bin/view/Main/?language=en 
). It is a 4 millions euros project funded by the French State  
involving many industrial partners.

** Research Subject in machine learning and Information extraction
	The goal is to explore unsupervised learning linked to the Harris'  
distributional hypothesis for helping the extraction of concepts and  
relations from dependency parses of AFP broadcast news. The depencies  
parses come from  a wide coverage TAG parser (FRMG).  The goal is to  
automatically populate an ontology of domain while being able to favor  
manual validation of such an ontology.

** Research Subject in parsing disambiguation with ontological  
	The goal is to explore the use of ontological information to improve  
the parsing process of AFP broadcast news. A post parsing  
disambiguation phase that could occur either on a shared forest or  
that could be integrated into our rule based disambiguation tool  
mainly interests us.

** Engineering work (some key points)
            * Help to package and distribute the Alpage tools involved  
in the Scribo project
            * Experiments within the UIMA framework, in relation with  
partners involved in this project
            * Experiments with the use of large scaled clusters (i.e.  
GRID 5000) to deploy our tool chain.

** Skills and requirements:
            All the applicants must demonstrate a working knowledge of  
any Linux/Unix environment and serious programming skills while being  
fully autonomous
            For the postdoc positions, familiarity with parsing  
techniques, with formalisms such as TAG/LFG/Dependency grammar   and/or
            With the deployment of large scale parsing chain (either  
symbolic or statistical) is a plus.
            For the first subject, familiarity with the use of machine  
learning techniques and tools/libraries is a plus.

** Salaries and faq
            Salaries are around 2000-2200 euros after tax, covering  
health insurance, unemployment benefits and retirement scheme

** About the Inria's Alpage project
            The Alpage team is specialized in Language modeling,  
Computational linguistics and Natural Language Processing (NLP).  
Alpage is a joint team with University Paris 7 (Department of  
Linguistics) that was created in July 2007, with members coming in  
majority from the former Paris 7 Talana team (member of the Lattice  
UMR) and INRIA’s former project-team Atoll. Both teams were  
specialized in Natural Language Processing (NLP, in French:  TAL, for  
Traitement Automatique des Langues), the former with a strong  
linguistic background, the latter with a strong computational  
background. Since February 2008, Alpage is a full Inria project-team.  
Since January 1st, 2009, Alpage an UMR-I (University Paris 7 & Inria)  
registered in the Paris 7 quadriennal plan as the UMR-I 001.
            Alpage’s overall objective is to develop linguistically  
relevant and computationally efficient tools and resources for natural  
language processing and its applications. To be more specific, Alpage  
focuses on the following topics:
• Research topics:
            – Deep syntactic modeling and parsing. This topic  
includes, but is not limited to, development of advanced parsing  
technologies, development of large-coverage and high-quality adaptive  
linguistic resources, and use of hybrid architectures coupling shallow  
parsing, (probabilistic and symbolic) deep parsing, and (probabilistic  
and symbolic) disambiguation techniques
            – Modeling and processing of language at a supra- 
sentential level (discourse modeling and parsing, anaphora resolution,  
            – NLP-based knowledge acquisition techniques

** Contacts:
            Dr. Eric Villemonte de la Clergerie
            Domaine de Voluceau - Rocquencourt - B.P. 105
            78153 Le Chesnay Cedex
            Email: Eric.De_La_Clergerie at inria.fr
            Phone: +33 1 39 63 54 10
            Fax: +33 1 39 63 53 30

            Pr. Laurence Danlos
            UFRL, Université Paris 7
            30 rue du château des rentiers
            75013 PARISe-mail : laurence.danlos at linguist.jussieu.fr
            Phone: +33 1 57 27 57 66
            Fax: +33 1 57 27 57 81

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