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Sahar Ghannay
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Documents
Identifiants chercheurs
- sahar-ghannay
- 0000-0002-7531-2522
- IdRef : 220420521
Présentation
Associate professort at LIMSI, CNRS, Université Paris-Saclay
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Team: [ILES](https://www.limsi.fr/en/research/iles/home)
Email: sahar.ghannay@limsi.fr
Website: <https://saharghannay.github.io>
Short Bio
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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
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Education
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- 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
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- 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
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Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence LabelingFirst Workshop on Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models, Oct 2022, virtual, South Korea
Communication dans un congrès
hal-03824597v1
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A Cooking Knowledge Graph and Benchmark for Question Answering Evaluation in Lifelong Learning ScenariosInternational Conference on Applications of Natural Language to Information Systems, Elisabeth Métais and Farid Meziane and Helmut Horacek and Philipp Cimiano, Jun 2020, Saarbrücken, Germany
Communication dans un congrès
hal-03006228v1
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Lifelong learning and task-oriented dialogue system: what does it mean?International Workshop on Spoken Dialogue Systems Technology, Apr 2019, Siracusa, Italy
Communication dans un congrès
hal-02301089v1
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