27 January: fyi -- research, Paris

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Description

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 information
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
http://www.inria.fr/travailler/opportunites/postdoc/faq_postdoc.en.html#n8

** 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
France
Email: Eric.De_La_Clergerie@inria.fr
Phone: +33 1 39 63 54 10
Fax: +33 1 39 63 53 30


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

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