Postdoc in NLP @ Laboratoire d’Informatique de Grenoble

When:
15/09/2022 – 16/09/2022 all-day
2022-09-15T02:00:00+02:00
2022-09-16T02:00:00+02:00

Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : LIG
Durée : 18 months
Contact : Emilie.Devijver@univ-grenoble-alpes.fr
Date limite de publication : 2022-09-15

Contexte :
Despite their success in many NLP tasks, seq2seq models fail at learning
simple generalization rules, i.e. interpreting novel combinations
of known lexical items, as illustrated by results on challenge datasets
such as SCAN [1] or COGS [2].
The HyperboTAL project is a multi-disciplinary collaboration
aiming at applying the tools of hyperbolic geometry to improve the
systematic compositional capabilities of Natural Language Processing models.
The project will build on recent proposals, as [3] and [4], that use
hyperpolic geometry to better encode linguistic information (e.g. Poincaré
embeddings).

[1] Generalization without systematicity: On the compositional skills of
sequence-to-sequence recurrent networks. B. M. Lake, M. Baroni. ICML 2018.
[2] COGS: A Compositional Generalization Challenge Based on Semantic
Interpretation. N. Kim, T. Linzen. EMNLP 2020
[3] Poincaré Embeddings for Learning Hierarchical Representations.
M. Nickel, D. Kiela. Neurips 2017.
[4] Hyperbolic graph neural networks. Q Liu, M Nickel, D Kiela.
NeurIPS 2019.

Sujet :
Main tasks:

– Literature review on hyperbolic geometry applications in NLP and
deep learning approaches to systematic compositionality.
– Design compositionality models that bring together
the tools of hyperbolic geometry and those of deep learning.
– Implementation and evaluation of proposed models on existing
challenge datasets (COGS).

The scientific orientations of the post-doc may vary according to the
candidates’ background and interests.

Profil du candidat :
– Background and/or strong interest in Mathematics and Natural Language
Processing.
– Programming skills: proficiency in python and experience with a deep
learning library.
– Proficiency in either French or English.

Formation et compétences requises :
– PhD in computer science.

Work environment:

– Location: Laboratoire d’Informatique de Grenoble (LIG), on Université
Grenoble Alpes campus.
– Cosupervision by Émilie Devijver (PI), Gérard Besson, Maximin Coavoux,
Éric Gaussier.
– Gross salary: minimum 2400 euros per month (depends on experience).
– Starting date: September 2022 (flexible).

To apply, please send a cv and a cover letter to contacts below as soon as
possible (applications are open until the position is filled).

Contacts (for applications or any questions about the position/project):
emilie.devijver@univ-grenoble-alpes.fr
g.besson@univ-grenoble-alpes.fr
maximin.coavoux@univ-grenoble-alpes.fr
eric.gaussier@imag.fr

Adresse d’emploi :
Laboratoire de Grenoble d’Informatique