LINGUIST List 29.1500
Fri Apr 06 2018
Support: Computational Linguistics: PhD, University of Lorraine
Editor for this issue: Clare Harshey <clarelinguistlist.org>
Date: 06-Apr-2018
From: Denis Paperno <denis.paperno
loria.fr>
Subject: Computational Linguistics: PhD, University of Lorraine,
France
E-mail this
message to a friend Level: PhD
Institution/Organization:
University of Lorraine
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
univ-lorraine.fr)
and Denis Paperno (denis.paperno
loria.fr)
For
applications,
http://iaem.univ-lorraine.fr > menu
LUE PhD Grants
Applications 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
loria.fr
Page Updated: 06-Apr-2018