Job: Postes a pourvoir dans l'equipe projet Alpage

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Sat Jan 23 17:56:38 UTC 2010

Date: Wed, 20 Jan 2010 01:51:34 +0100
From: Djamé Seddah <djame.seddah at>
Message-Id: <E95293AD-1750-4546-A8E7-93046D394344 at>

*** 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,
laurence.danlos at


The Alpage project ( 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
( ). 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, etc)
           – 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
           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
           Phone: +33 1 57 27 57 66
           Fax: +33 1 57 27 57 81

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