32.3712, Jobs: Computational Linguistics; Semantics: Postdoctoral researcher in Computational Diachronic Semantics, Labex Empirical Foundations of Linguistics

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LINGUIST List: Vol-32-3712. Mon Nov 29 2021. ISSN: 1069 - 4875.

Subject: 32.3712, Jobs: Computational Linguistics; Semantics: Postdoctoral researcher in Computational Diachronic Semantics, Labex Empirical Foundations of Linguistics

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Date: Mon, 29 Nov 2021 15:28:24
From: Christel Préterre [christel.preterre at sorbonne-nouvelle.fr]
Subject: Computational Linguistics; Semantics: Postdoctoral researcher in Computational Diachronic Semantics, Labex Empirical Foundations of Linguistics, Paris, France

 
University or Organization: Labex Empirical Foundations of Linguistics 
Job Location: Paris, France 
Web Address: https://www.labex-efl.fr/
Job Title: Postdoctoral researcher in Computational Diachronic Semantics
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Semantics 


Description:

Research area : interpretable computational models for automatic detection and
monitoring of semantic evolutions: combination of Contextual Embeddings and
Pattern Mining approaches

Contract duration: 18 months
Location: Paris
Research Laboratory: Sorbonne Paris Nord University, LIPN UMR7030 CNRS
Application deadline: January 15, 2022
Audition period: January 15-30, 2022
Job Starting date: from February 1, 2022

The recruited person will join the strand 5 (“Computational Semantics”) of the
Labex, specifically the research team working on the “Semantic Variation and
Change” operation which aims to:
 - develop new models and methods for the automatic detection of lexical
semantic changes, the typology of changes from intra- and extra-linguistic
points of view;
 - develop a reference dataset of semantic evolutions in contemporary French,
based on available diachronic corpora.

The job main objective is to set up a system combining these approaches to
allow an automatic characterization of semantic evolutions. The first step
will consist in experimenting with state-of-the-art models for detecting
changes. The second step will then  try to combine contextual embeddings and
pattern mining approaches / collocation extraction to highlight the linguistic
characteristics of each of the meaning clusters and their evolution. The
studied corpora will be mainly in English and French. The postdoctoral fellow
will work in collaboration with computer scientists and linguists from the
Labex who are currently building a reference corpus of semantic evolutions for
French (following the Durel methodology: Schlechtweg et al., 2018).

Other issues may also be addressed by the recruited person, and in particular:
current systems do not take into account the graduality of evolutions,
generally being limited to comparing two synchronic language states; to get
the vector representation of a lexis in a context, it is possible to use one
of the hidden layers or a combination of them. There is currently no consensus
on the most adequate layer to take into account to obtain the most adequate
semantic representation.

Candidate profile: 
 - PhD in computer science specialised in Computational Linguistics and
Machine Learning
 - deep learning methods and language models attested training and experience
 - working language: French and / or English

Application: 
Please send :
 - a cover letter
 - a description of the research project related to the research questions
 - a CV with a list of publications and 3 representative publications (pdf or
link),
 - letters of recommendation or names of two referees.

to emmanuel.cartier at lipn.univ-paris13.fr and
thierry.charnois at lipn.univ-paris13.fr before January 15, 2022. The auditions
of the pre-selected candidates will take place at the end of January 2022.

For more information:
https://en.labex-efl.fr/post/job-offer-postdoctoral-researcher-in-diachronic-c
omputational-semantics



Application Deadline: 15-Jan-2022 
	  
Email Address for Applications: emmanuel.cartier at lipn.univ-paris13.fr 
Contact Information:
	Emmanuel Cartier 
	Email: emmanuel.cartier at lipn.univ-paris13.fr 


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