2 post-doc positions at Aix Marseille University (France)

2 post-doc positions at Aix Marseille University (France)

  • Invitation:
  • Aix Marseille University offers 2 post-doc positions in natural language processing, starting in January 2018 or earlier. Candidates can apply to one position or to both. Applications should be sent before October 15, 2017.

    DATES AND APPLICATION

    Offer 1 – ALECTOR; * Duration: 1 year, starting in January 2018 (or earlier)

    * Location: Laboratoire Parole et Langage, Aix en Provence
    (http://www.lpl-aix.fr/)

    * Employer: Centre National de la Recherche Scientifique

    * Contract : CDD
    * Remuneration: according to CNRS pay grid and experience (around 2,000? to
    2,400?)

    **Word sense disambiguation and lexical substitution in French**

    The recruited post-doc researcher will work at Laboratoire Parole et Langage in Aix en Provence. The researcher will work in the ANR project ALECTOR (https://alectorsite.wordpress.com/). The aim of the project is to develop tools for reading assistance for dyslexic children based on automatic text simplification.

    The mission of the post-doc includes two main goals. On the one hand, it will be necessary to develop original methods for **lexical substitution**, taking into account intra-lexical and statistical criteria. Therefore, the researcher will use existing results and resources for word sense disambiguation, notably ReSyf (a lexicon of graded and disambiguated synonyms). On the other hand, it will be required to enrich the resource by including **multiword expressions**, for which a complexity degree must be assigned.

    Publishing the results and transferring them to the partner teams in the project will also be part of the post-doc missions.

    ## Profile:

    * PhD in computer science, natural language processing or similar domain
    * Excellent level of written and spoken French and English is required

    ## Full description:

    https://alectorsite.wordpress.com/2017/09/13/recrutement-dun-post-doc/

  • Offer 2 – PARSEME-FR
    ——————–

    * Duration: 2 years, starting in January 2018 (or earlier)

    * Location: Laboratoire d’informatique fondamentale, Marseilles
    (http://www.lif.univ-mrs.fr)

    * Employer: Aix Marseille University

    * Contract : CDD

    * Remuneration: according to AMU pay grid and experience (around 2,000? to 2,400?)

    **Identification of multiword expressions off the beaten path : towards MWE-aware semantic parsing**

    The recruited post-doc researcher will work at Laboratoire d’Informatique Fondamentale in Marseilles – Luminy. The researcher will work in the ANR project PARSEME-FR (http://parsemefr.lif.univ-mrs.fr). The goal of the project is to build systems for parsing and identification of multiword expressions (MWEs) in French.

    MWEs such as “French fries”, “take a break” and “do one’s best” often pose problems for text analysis chains because of their idiosyncratic nature. Among their notably challenging characteristics, they can present irregular syntactic structure, discontinuities and ambiguity. The task of automatic **MWE identification** consists in determining which words are part of a multiword expression, and how they are related to each other.

    Considerable progress has been made in the last years to understand and model the interactions between MWE identification and syntactic parsing.
    However, the interactions between MWEs and **semantic parsing** have not received much emphasis. This is surprising, given that many MWEs breach the principle of semantic compositionality to some extent, requiring special treatment in semantic analysis. Therefore, the **goal of the proposed post-doc project is to develop and evaluate original methods for semantic-aware MWE identification and MWE-aware semantic parsing**. The recruited post-doc will be responsible for the development of a software prototype for MWE identification in French. Nonetheless, the methods implemented therein should be as language independent and universal as possible.

    ## Profile:

    * PhD in computer science, natural language processing or similar domain
    * Good knowledge of French and English (not necessarily native)

    ## Full description:

    http://parsemefr.lif.univ-mrs.fr/doku.php?id=job-2017-lif-postdoc

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