29.1500, Support: Computational Linguistics: PhD, University of Lorraine

[The LINGUIST List]

LINGUIST List: Vol-29-1500. Fri Apr 06 2018. ISSN: 1069 - 4875.

Subject: 29.1500, Support: Computational Linguistics: PhD, University of Lorraine

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Date: Fri, 06 Apr 2018 15:10:54
From: Denis Paperno [denis.paperno at loria.fr]
Subject: Computational Linguistics: PhD, University of Lorraine, France

 Institution/Organization: University of Lorraine 
Department:  

Level: PhD 

Duties: Research,Teaching
 
Specialty Areas: Computational Linguistics 
 

Description:

Please take note of this PhD thesis offer in computational linguistics at the
University of Lorraine (Nancy, France). The PhD student will have the status
of a university employee with state-mandated health insurance, social security
benefits and a gross monthly salary between 1676,55 and 2014,63 euros.

Title: Generating Definitions and Semantic Properties of Words with Deep
Learning and Rich Lexical Resources

Summary:

The PhD thesis will consist in investigating new methods to extract
appropriate semantic knowledge for a lexical unit in a given context. In
particular, given a word and a context, the proposed methods will aim at
automatically generating its definition as well as its semantic properties
(e.g. coarse-grained sense, synonyms), adapted not only to its occurrence
context, but also to the user.

With the deep learning revolution, the PhD project hypothesis is that it is
now possible to fully model the task with neural networks including both the
analysis of the word and its context, and the actual generation of a defining
sentence in natural language. Such models would be trained from the content of
lexical resources, and enriched with language models and word representations
learned from large textual corpora in order to capture the lexical diversity
and language style of a general audience. This approach could be very related
to novel neural approaches used for machine translation or automatic
summarization that both include an analysis and a generation phase.

While the topic proposed for investigation in this PhD project is related to
the traditional tasks of Word Sense Disambiguation and Word Sense Induction,
it is in fact more challenging as it takes a step further: a successful system
is expected to generate definitions even for words and word senses that are
not covered in existing lexical resources, generalizing from existing
knowledge bases.

For more information, http://iaem.univ-lorraine.fr. Menu: LUE PhD Grants.

Host research units: 
- Analyse et traitement informatique de la langue française (ATILF)
- Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
- Location: Nancy
- Grant by Lorraine Université Excellence
- Supervisors:
- Mathieu Constant (ATILF)
- Denis Paperno (LORIA)

Application:

For more information on the thesis offer, contact Mathieu Constant
(Mathieu.Constant at univ-lorraine.fr) and Denis Paperno (denis.paperno at loria.fr)

For applications, http://iaem.univ-lorraine.fr > menu LUE PhD Grants
 

Application Deadline: 15-May-2018 

Web Address for Applications: http://www.adum.fr/as/ed/voirproposition.pl?langue=fr&site=IAEM&matricule_prop=20242#version 

Contact Information: 
	Denis Paperno 
	denis.paperno at loria.fr  


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