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Sahar Ghannay

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Identifiants chercheurs

Présentation

Associate professort at LIMSI, CNRS, Université Paris-Saclay ------------------------------------------------------------ Team: [ILES](https://www.limsi.fr/en/research/iles/home) Email: sahar.ghannay@limsi.fr Website: <https://saharghannay.github.io> Short Bio --------- Sahar Ghannay is an associate professor at Université Paris-Saclay, in the CNRS, [LISN](https://www.lisn.upsaclay.fr) research center, since September 2018. She received a PhD in Computer Science from Le Mans University on Septembre 2017. Her thesis work is part of the ANR [VERA](https://anr.fr/Project-ANR-12-BS02-0006) (AdVanced ERror Analysis for speech recognition) project. During her PhD, she spent a few months as @ visiting researcher at Apple within the Siri Speech team. As a postdoctoral researcher at [LIUM](https://lium.univ-lemans.fr/), she worked on neural end-to-end systems for the detection of named entities, speech understanding, as part of the Chist-Era [M2CR](https://projets-lium.univ-lemans.fr/m2cr/) (Multimodal Multilingual Continuous Representation for Human Language Understanding) project. Her main research interests are continuous representations learning and their application to natural language processing and speech recognition tasks, semantic information extraction form spoken and writen language and dialog system. CV == Education --------- - PHD in computer science, at LIUM, Le Mans université, 2017 - MS in computer science, Le Mans université, 2013 - BS in computer science, Le Mans université and université de sfax, 2011 Work Experience ---------------- - 2018 - now: Associate Professort at LISN, CNRS, Université Paris-Saclay - 2017-2018: Post-doc at LIUM, Le Mans université - 2017 (4 moths): Internship at Apple within the Siri Speech team at Cupertino - April 2013-Sept. 2014: research engineer

Publications

"servan"
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New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark

Nadège Alavoine , Gaëlle Laperriere , Christophe Servan , Sahar Ghannay , Sophie Rosset
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024, Torino, Italy
Communication dans un congrès hal-04523286v1
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mALBERT: Is a Compact Multilingual BERT Model Still Worth It?

Christophe Servan , Sahar Ghannay , Sophie Rosset
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, May 2024, Torino, Italy
Communication dans un congrès hal-04520797v1
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Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification

Pierre Lepagnol , Thomas Gerald , Sahar Ghannay , Christophe Servan , Sophie Rosset
LREC-COLING 2024, May 2024, TURIN, Italy
Communication dans un congrès hal-04519930v2
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Benchmarking Transformers-based models on French Spoken Language Understanding tasks

Oralie Cattan , Sahar Ghannay , Christophe Servan , Sophie Rosset
INTERSPEECH 2022, Sep 2022, Incheon, South Korea
Communication dans un congrès hal-03715340v2
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Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation Task

Sahar Ghannay , Christophe Servan , Sophie Rosset
In Proceedings of The 28th International Conference on Computational Linguistics (COLING’2020), 2020, Dec 2020, Barcelona (online), Spain
Communication dans un congrès hal-03007482v1