|
 |
ISCApad Archive » 2022 » ISCApad #288 » Jobs » (2022-04-06) Ph.D. Thesis position and Post-doc position at Loria-INRIA, Nancy, France |
ISCApad #288 |
| Friday, June 10, 2022 by Chris Wellekens |
6-14 (2022-04-06) Ph.D. Thesis position and Post-doc position at Loria-INRIA, Nancy, France
Ph.D. Thesis position and Post-doc position at Loria-INRIA, Mutlispeech team, Nancy (France)
Multimodal automatic hate speech detection
https://jobs.inria.fr/public/classic/fr/offres/2022-04660
https://team.inria.fr/multispeech/fr/category/job-offers/
Hate speech expresses antisocial behavior. In many countries, online hate
speech is punishable by the law. Manual analysis of such content and its moderation
are impossible. An effective solution to this problem would be the automatic
detection of hate comments. Until now, for hate speech detection, only text
documents have been used. We would like to advance the knowledge about hate speech
detection by exploring a new type of document: audio documents.
We would like to develop a new methodology to automatically detect hate speech,
based on Machine Learning and Deep Neural Networks using text and audio.
Required Skills: The candidate should have theoretical and a moderate practical experience
with Deep Learning, including a good practice in Python and an understanding of deep
learning libraries like Pytorch. The knowledge of NLP or signal processing will be helpful.
Supervisors:
Irina Illina, Associate Professor, HDR, Lorrain University
Dominique Fohr, Senior Researcher, CNRS
https://members.loria.fr/IIllina/ illina@loria.fr
https://members.loria.fr/DFohr/ dominique.fohr@loria.fr
MULTISPEECH is a joint research team between the Université of Lorraine, Inria,
and CNRS. It is part of department D4 “Natural language and knowledge processing”
of LORIA. Its research focuses on speech processing, with particular emphasis to
multisource (source separation, robust speech recognition), multilingual (computer
assisted language learning), and multimodal aspects.
|
 | Back |  | Top |