Job: Postdoc, INRIA Rennes, France, structured CRF

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Wed Dec 5 08:59:47 UTC 2012


Date: Mon, 03 Dec 2012 16:31:50 +0100
From: Vincent Claveau <vincent.claveau at irisa.fr>
Message-ID: <50BCC5E6.9080901 at irisa.fr>


POSTDOCTORAL POSITION at INRIA Rennes, France

Topic: Conditional Random Fields for structured annotation


In the field of natural language processing, statistical methods have
become very popular thanks to their efficiency in dealing with noisy
inputs (e.g., automatic speech transcripts, blog, tweets). In the
particular case of sequence labeling problems, such as named entities
recognition (discovery of person names, places, dates, etc. within a
text), the Conditional Random Fields (CRF) model is particularly
effective .

CRFs are currently limited to model unstructured sequences (flat
representation), while one of the current problems is to predict
structured sequences (tree-structured for example). Methods for modeling
such structured sequences exist, like Probabilistic Context Free
Grammars (PCFG), but their effectiveness is limited when confronted with
noisy input as we are aiming to process.

The proposed work is to study a method for predicting sequences of
structured objects robust to handle noisy inputs. This method will
provide a decomposition of the overall problem into sub-problems modeled
by CRF and redial the different results to produce a structured output.
Evaluation will be performed on noisy texts (speech transcripts,
tweets...).

This work takes place in the context of the Quaero project, funded by
the French National Innovation Agency (www.quaero.org).  
The work will be performed at IRISA/INRIA Rennes, France
(http://www.irisa.fr/, http://www.inria.fr/centre/rennes/). The
candidate will integrate the TexMex team, whose main research topics
include large-scale multimedia indexing, speech processing, information
retrieval.

QUALIFICATIONS AND POSITION

The successful candidate will have a PhD with a track record of
Text-Mining or Machine Learning for Natural Language Processing
research. Fluency in English is mandatory.

This position is to be filled as early as possible, and will end on the
31st of Dec 2013. Salary follows INRIA scales and depends on the
candidate's experience (the minimum monthly net salary is about 1900 €).

To apply, please send a cover letter, describing how the applicant's
knowledge and research background will contribute to the project, a CV,
and the names and contact information of two referees to:

Christian Raymond (christian.raymond at irisa.fr)

-------------------------------------------------------------------------
Message diffuse par la liste Langage Naturel <LN at cines.fr>
Informations, abonnement : http://www.atala.org/article.php3?id_article=48
English version       : 
Archives                 : http://listserv.linguistlist.org/archives/ln.html
                                http://liste.cines.fr/info/ln

La liste LN est parrainee par l'ATALA (Association pour le Traitement
Automatique des Langues)
Information et adhesion  : http://www.atala.org/
-------------------------------------------------------------------------



More information about the Ln mailing list