Две постдок позиције на Aix Marseille University

  • Позив:
  • 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.

    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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