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