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2020 – today
- 2024
[c39]Christophe Servan, Sahar Ghannay, Sophie Rosset:
mALBERT: Is a Compact Multilingual BERT Model Still Worth It? LREC/COLING 2024: 11023-11029- [c38]Nadège Alavoine, Gaëlle Laperrière, Christophe Servan, Sahar Ghannay, Sophie Rosset:
New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark. LREC/COLING 2024: 12227-12246 - [c37]Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Small Language Models Are Good Too: An Empirical Study of Zero-Shot Classification. LREC/COLING 2024: 14923-14936 - [c36]Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Les petits modèles sont bons : une étude empirique de classification dans un contexte zero-shot. TALN (1) 2024: 113-129 - [c35]Nadège Alavoine, Gaëlle Laperrière, Christophe Servan, Sahar Ghannay, Sophie Rosset:
Nouvelle tâche sémantique pour le corpus de compréhension de parole en français MEDIA. TALN (JEP) 2024: 470-480 - [c34]François Buet, Camille Guinaudeau, Cyril Grouin, Sahar Ghannay, Shin'Ichi Satoh:
Utiliser l'explicabilité des modèles pour mettre en évidence les expressions genrées dans la parole. TALN (1) 2024: 695-707 - [i13]Christophe Servan, Sahar Ghannay, Sophie Rosset:
mALBERT: Is a Compact Multilingual BERT Model Still Worth It? CoRR abs/2403.18338 (2024) - [i12]Nadège Alavoine, Gaëlle Laperrière, Christophe Servan, Sahar Ghannay, Sophie Rosset:
New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark. CoRR abs/2403.19727 (2024) - [i11]Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification. CoRR abs/2404.11122 (2024) - [i10]Gaëlle Laperrière, Sahar Ghannay, Bassam Jabaian, Yannick Estève:
A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding. CoRR abs/2406.12141 (2024) - 2023
- [c33]Gaëlle Laperrière, Ha Nguyen, Sahar Ghannay, Bassam Jabaian, Yannick Estève:
Specialized Semantic Enrichment of Speech Representations. ICASSP Workshops 2023: 1-5 - [c32]Gaëlle Laperrière, Ha Nguyen, Sahar Ghannay, Bassam Jabaian, Yannick Estève:
Semantic Enrichment Towards Efficient Speech Representations. INTERSPEECH 2023: 705-709 - [c31]Omar Adjali
, Paul Grimal, Olivier Ferret, Sahar Ghannay, Hervé Le Borgne:
Explicit Knowledge Integration for Knowledge-Aware Visual Question Answering about Named Entities. ICMR 2023: 29-38 - [i9]Gaëlle Laperrière, Ha Nguyen, Sahar Ghannay, Bassam Jabaian, Yannick Estève:
Semantic enrichment towards efficient speech representations. CoRR abs/2307.01323 (2023) - 2022
- [c30]Oralie Cattan, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Benchmarking Transformers-based models on French Spoken Language Understanding tasks. INTERSPEECH 2022: 1238-1242 - [c29]Gaëlle Laperrière, Valentin Pelloin, Antoine Caubrière, Salima Mdhaffar, Nathalie Camelin, Sahar Ghannay, Bassam Jabaian, Yannick Estève:
The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools. LREC 2022: 1595-1602 - [c28]Salima Mdhaffar, Valentin Pelloin, Antoine Caubrière, Gaëlle Laperrière, Sahar Ghannay, Bassam Jabaian, Nathalie Camelin, Yannick Estève:
Impact Analysis of the Use of Speech and Language Models Pretrained by Self-Supersivion for Spoken Language Understanding. LREC 2022: 2949-2956 - [c27]Juan Manuel Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset:
Continual Self-Supervised Domain Adaptation for End-to-End Speaker Diarization. SLT 2022: 626-632 - [e1]Haithem Afli, Mehwish Alam, Houda Bouamor, Cristina Blasi Casagran, Colleen Boland, Sahar Ghannay:
Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences, PoliticalNLP@LREC 2022, Marseille, France, June 20-25, 2022. European Language Resources Association 2022, ISBN 979-10-95546-88-7 [contents] - [i8]Oralie Cattan, Sahar Ghannay, Christophe Servan, Sophie Rosset:
Benchmarking Transformers-based models on French Spoken Language Understanding tasks. CoRR abs/2207.09152 (2022) - 2021
- [c26]Juan Manuel Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset:
Overlap-Aware Low-Latency Online Speaker Diarization Based on End-to-End Local Segmentation. ASRU 2021: 1139-1146 - [c25]Nesrine Bannour, Sahar Ghannay, Aurélie Névéol, Anne-Laure Ligozat:
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools. SustaiNLP@EMNLP 2021: 11-21 - [c24]Sahar Ghannay, Antoine Caubrière, Salima Mdhaffar, Gaëlle Laperrière, Bassam Jabaian, Yannick Estève:
Where Are We in Semantic Concept Extraction for Spoken Language Understanding? SPECOM 2021: 202-213 - [i7]Sahar Ghannay, Antoine Caubrière, Salima Mdhaffar, Gaëlle Laperrière, Bassam Jabaian, Yannick Estève:
Where are we in semantic concept extraction for Spoken Language Understanding? CoRR abs/2106.13045 (2021) - [i6]Juan Manuel Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset:
Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation. CoRR abs/2109.06483 (2021) - 2020
- [j1]Sahar Ghannay, Yannick Estève, Nathalie Camelin:
A study of continuous space word and sentence representations applied to ASR error detection. Speech Commun. 120: 31-41 (2020) - [c23]Sahar Ghannay, Cyril Grouin, Thomas Lavergne:
Experiments from LIMSI at the French Named Entity Recognition Coarse-grained Task. CLEF (Working Notes) 2020 - [c22]Sahar Ghannay, Christophe Servan, Sophie Rosset:
Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation Task. COLING 2020: 2722-2727 - [c21]Sahar Ghannay, Antoine Neuraz, Sophie Rosset:
What is best for spoken language understanding: small but task-dependant embeddings or huge but out-of-domain embeddings? ICASSP 2020: 8114-8118 - [c20]Antoine Caubrière, Sahar Ghannay, Natalia A. Tomashenko, Renato De Mori, Antoine Laurent, Emmanuel Morin, Yannick Estève:
Error Analysis Applied to End-to-End Spoken Language Understanding. ICASSP 2020: 8514-8518 - [c19]Mathilde Veron, Anselmo Peñas, Guillermo Echegoyen, Somnath Banerjee, Sahar Ghannay, Sophie Rosset:
A Cooking Knowledge Graph and Benchmark for Question Answering Evaluation in Lifelong Learning Scenarios. NLDB 2020: 94-101 - [c18]Juan Manuel Coria, Sahar Ghannay, Sophie Rosset, Hervé Bredin:
A Metric Learning Approach to Misogyny Categorization. RepL4NLP@ACL 2020: 89-94 - [c17]Somnath Banerjee, Sahar Ghannay, Sophie Rosset, Anne Vilnat, Paolo Rosso:
LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis. SemEval@COLING 2020: 1281-1287 - [c16]Juan Manuel Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset:
A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification. SLSP 2020: 137-148 - [i5]Juan Manuel Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset:
A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification. CoRR abs/2003.14021 (2020) - [i4]Somnath Banerjee, Sahar Ghannay, Sophie Rosset, Anne Vilnat, Paolo Rosso:
LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis. CoRR abs/2008.13173 (2020)
2010 – 2019
- 2019
- [c15]Mathilde Veron, Sahar Ghannay, Anne-Laure Ligozat, Sophie Rosset:
Lifelong Learning and Task-Oriented Dialogue System: What Does It Mean? IWSDS 2019: 347-356 - 2018
- [c14]Sahar Ghannay, Yannick Estève, Nathalie Camelin:
Task Specific Sentence Embeddings for ASR Error Detection. INTERSPEECH 2018: 1288-1292 - [c13]Edwin Simonnet, Sahar Ghannay, Nathalie Camelin, Yannick Estève:
Simulating ASR errors for training SLU systems. LREC 2018 - [c12]Sahar Ghannay, Antoine Caubrière, Yannick Estève, Nathalie Camelin, Edwin Simonnet, Antoine Laurent, Emmanuel Morin:
End-To-End Named Entity And Semantic Concept Extraction From Speech. SLT 2018: 692-699 - [c11]François Hernandez, Vincent Nguyen, Sahar Ghannay, Natalia A. Tomashenko, Yannick Estève:
TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation. SPECOM 2018: 198-208 - [i3]François Hernandez, Vincent Nguyen, Sahar Ghannay, Natalia A. Tomashenko, Yannick Estève:
TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation. CoRR abs/1805.04699 (2018) - [i2]Sahar Ghannay, Antoine Caubrière, Yannick Estève, Antoine Laurent, Emmanuel Morin:
End-to-end named entity extraction from speech. CoRR abs/1805.12045 (2018) - 2017
- [b1]Sahar Ghannay:
Étude sur les représentations continues de mots appliquées à la détection automatique des erreurs de reconnaissance de la parole. (A study of continuous word representations applied to the automatic detection of speech recognition errors). University of Maine, Le Mans, France, 2017 - [c10]Edwin Simonnet, Sahar Ghannay, Nathalie Camelin, Yannick Estève, Renato De Mori:
ASR Error Management for Improving Spoken Language Understanding. INTERSPEECH 2017: 3329-3333 - [c9]Sahar Ghannay, Yannick Estève, Nathalie Camelin:
Enriching Confusion Networks for Post-processing. SLSP 2017: 119-130 - [i1]Edwin Simonnet, Sahar Ghannay, Nathalie Camelin, Yannick Estève, Renato De Mori:
ASR error management for improving spoken language understanding. CoRR abs/1705.09515 (2017) - 2016
- [c8]Yannick Estève, Sahar Ghannay, Nathalie Camelin:
Recent Improvements on Error Detection for Automatic Speech Recognition. MMDA@ECAI 2016: 28-32 - [c7]Sahar Ghannay, Yannick Estève, Nathalie Camelin, Paul Deléglise:
Acoustic Word Embeddings for ASR Error Detection. INTERSPEECH 2016: 1330-1334 - [c6]Sahar Ghannay, Benoît Favre, Yannick Estève, Nathalie Camelin:
Word Embedding Evaluation and Combination. LREC 2016 - [c5]Sahar Ghannay, Yannick Estève, Nathalie Camelin, Paul Deléglise:
Evaluation of acoustic word embeddings. RepEval@ACL 2016: 62-66 - [c4]Sahar Ghannay, Yannick Estève, Nathalie Camelin, Camille Dutrey, Fabian Santiago, Martine Adda-Decker:
Utilisation des représentations continues des mots et des paramètres prosodiques pour la détection d'erreurs dans les transcriptions automatiques de la parole (Combining continuous word representation and prosodic features for ASR error detection). JEP-TALN-RECITAL (1) 2016: 723-731 - 2015
- [c3]Sahar Ghannay, Yannick Estève, Nathalie Camelin:
Word embeddings combination and neural networks for robustness in ASR error detection. EUSIPCO 2015: 1671-1675 - [c2]Sahar Ghannay, Yannick Estève, Nathalie Camelin, Camille Dutrey, Fabian Santiago, Martine Adda-Decker:
Combining Continuous Word Representation and Prosodic Features for ASR Error Prediction. SLSP 2015: 84-95 - 2014
- [c1]Sahar Ghannay, Loïc Barrault:
Using Hypothesis Selection Based Features for Confusion Network MT System Combination. HyTra@EACL 2014: 2-6
Coauthor Index
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last updated on 2024-09-28 01:23 CEST by the dblp team
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