Using Hypothesis Selection Based Features for Confusion Network MT System Combination. - Sahar Ghannay; Loïc Barrault (HyTra@EACL, 2014)

Word embeddings combination and neural networks for robustness in ASR error detection. - Sahar Ghannay; Yannick Estève; Nathalie Camelin (EUSIPCO, 2015)

Combining Continuous Word Representation and Prosodic Features for ASR Error Prediction. - Sahar Ghannay; Yannick Estève; Nathalie Camelin; Camille Dutrey; Fabian Santiago; Martine Adda-Decker (SLSP, 2015)

Recent Improvements on Error Detection for Automatic Speech Recognition. - Yannick Estève; Sahar Ghannay; Nathalie Camelin (MMDA@ECAI, 2016)

Acoustic Word Embeddings for ASR Error Detection. - Sahar Ghannay; Yannick Estève; Nathalie Camelin; Paul Deléglise (INTERSPEECH, 2016)

Word Embedding Evaluation and Combination. - Sahar Ghannay; Benoît Favre; Yannick Estève; Nathalie Camelin (LREC, 2016)

Evaluation of acoustic word embeddings. - Sahar Ghannay; Yannick Estève; Nathalie Camelin; Paul Deléglise (RepEval@ACL, 2016)

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). - Sahar Ghannay; Yannick Estève; Nathalie Camelin; Camille Dutrey; Fabian Santiago; Martine Adda-Decker (JEP-TALN-RECITAL (1), 2016)

ASR Error Management for Improving Spoken Language Understanding. - Edwin Simonnet; Sahar Ghannay; Nathalie Camelin; Yannick Estève; Renato De Mori (INTERSPEECH, 2017)

Enriching Confusion Networks for Post-processing. - Sahar Ghannay; Yannick Estève; Nathalie Camelin (SLSP, 2017)

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). - Sahar Ghannay (2017)

Task Specific Sentence Embeddings for ASR Error Detection. - Sahar Ghannay; Yannick Estève; Nathalie Camelin (INTERSPEECH, 2018)

Simulating ASR errors for training SLU systems. - Edwin Simonnet; Sahar Ghannay; Nathalie Camelin; Yannick Estève (LREC, 2018)

End-To-End Named Entity And Semantic Concept Extraction From Speech. - Sahar Ghannay; Antoine Caubrière; Yannick Estève; Nathalie Camelin; Edwin Simonnet; Antoine Laurent; Emmanuel Morin (SLT, 2018)

TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation. - François Hernandez; Vincent Nguyen; Sahar Ghannay; Natalia A. Tomashenko; Yannick Estève (SPECOM, 2018)

End-to-end named entity extraction from speech. - Sahar Ghannay; Antoine Caubrière; Yannick Estève; Antoine Laurent; Emmanuel Morin (CoRR, 2018)

Lifelong Learning and Task-Oriented Dialogue System: What Does It Mean? - Mathilde Veron; Sahar Ghannay; Anne-Laure Ligozat; Sophie Rosset (IWSDS, 2019)

Experiments from LIMSI at the French Named Entity Recognition Coarse-grained Task. - Sahar Ghannay; Cyril Grouin; Thomas Lavergne (CLEF (Working Notes), 2020)

Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation Task. - Sahar Ghannay; Christophe Servan; Sophie Rosset (COLING, 2020)

Error Analysis Applied to End-to-End Spoken Language Understanding. - Antoine Caubrière; Sahar Ghannay; Natalia A. Tomashenko; Renato De Mori; Antoine Laurent; Emmanuel Morin; Yannick Estève (ICASSP, 2020)

What is best for spoken language understanding: small but task-dependant embeddings or huge but out-of-domain embeddings? - Sahar Ghannay; Antoine Neuraz; Sophie Rosset (ICASSP, 2020)

A Cooking Knowledge Graph and Benchmark for Question Answering Evaluation in Lifelong Learning Scenarios. - Mathilde Veron; Anselmo Peñas; Guillermo Echegoyen; Somnath Banerjee 001; Sahar Ghannay; Sophie Rosset (NLDB, 2020)

A Metric Learning Approach to Misogyny Categorization. - Juan Manuel Coria; Sahar Ghannay; Sophie Rosset; Hervé Bredin (RepL4NLP@ACL, 2020)

LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis. - Somnath Banerjee 001; Sahar Ghannay; Sophie Rosset; Anne Vilnat; Paolo Rosso (SemEval@COLING, 2020)

A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification. - Juan Manuel Coria; Hervé Bredin; Sahar Ghannay; Sophie Rosset (SLSP, 2020)

A study of continuous space word and sentence representations applied to ASR error detection. - Sahar Ghannay; Yannick Estève; Nathalie Camelin (Speech Commun., 2020)

Overlap-Aware Low-Latency Online Speaker Diarization Based on End-to-End Local Segmentation. - Juan Manuel Coria; Hervé Bredin; Sahar Ghannay; Sophie Rosset (ASRU, 2021)

Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools. - Nesrine Bannour; Sahar Ghannay; Aurélie Névéol; Anne-Laure Ligozat (SustaiNLP@EMNLP, 2021)

Where Are We in Semantic Concept Extraction for Spoken Language Understanding? - Sahar Ghannay; Antoine Caubrière; Salima Mdhaffar; Gaëlle Laperrière; Bassam Jabaian; Yannick Estève (SPECOM, 2021)

Benchmarking Transformers-based models on French Spoken Language Understanding tasks. - Oralie Cattan; Sahar Ghannay; Christophe Servan; Sophie Rosset (INTERSPEECH, 2022)

The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools. - Gaëlle Laperrière; Valentin Pelloin; Antoine Caubrière; Salima Mdhaffar; Nathalie Camelin; Sahar Ghannay; Bassam Jabaian; Yannick Estève (LREC, 2022)

Impact Analysis of the Use of Speech and Language Models Pretrained by Self-Supersivion for Spoken Language Understanding. - Salima Mdhaffar; Valentin Pelloin; Antoine Caubrière; Gaëlle Laperrière; Sahar Ghannay; Bassam Jabaian; Nathalie Camelin; Yannick Estève (LREC, 2022)

Continual Self-Supervised Domain Adaptation for End-to-End Speaker Diarization. - Juan Manuel Coria; Hervé Bredin; Sahar Ghannay; Sophie Rosset (SLT, 2022)

Specialized Semantic Enrichment of Speech Representations. - Gaëlle Laperrière; Ha Nguyen; Sahar Ghannay; Bassam Jabaian; Yannick Estève (ICASSP Workshops, 2023)

Semantic Enrichment Towards Efficient Speech Representations. - Gaëlle Laperrière; Ha Nguyen; Sahar Ghannay; Bassam Jabaian; Yannick Estève (INTERSPEECH, 2023)

Explicit Knowledge Integration for Knowledge-Aware Visual Question Answering about Named Entities. - Omar Adjali; Paul Grimal; Olivier Ferret; Sahar Ghannay; Hervé Le Borgne (ICMR, 2023)

New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark. - Nadège Alavoine; Gaëlle Laperrière; Christophe Servan; Sahar Ghannay; Sophie Rosset (LREC/COLING, 2024)

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)

mALBERT: Is a Compact Multilingual BERT Model Still Worth It? - Christophe Servan; Sahar Ghannay; Sophie Rosset (LREC/COLING, 2024)

Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering. - Omar Adjali; Olivier Ferret; Sahar Ghannay; Hervé Le Borgne (EMNLP, 2024)

A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding. - Gaëlle Laperrière; Sahar Ghannay; Bassam Jabaian; Yannick Estève (INTERSPEECH, 2024)

Nouvelle tâche sémantique pour le corpus de compréhension de parole en français MEDIA. - Nadège Alavoine; Gaëlle Laperrière; Christophe Servan; Sahar Ghannay; Sophie Rosset (TALN (JEP), 2024)

Utiliser l'explicabilité des modèles pour mettre en évidence les expressions genrées dans la parole. - François Buet; Camille Guinaudeau; Cyril Grouin; Sahar Ghannay; Shin'ichi Satoh 001 (TALN (1), 2024)

Les petits modèles sont bons : une étude empirique de classification dans un contexte zero-shot. - Pierre Lepagnol; Thomas Gerald; Sahar Ghannay; Christophe Servan; Sophie Rosset (TALN (1), 2024)

RNAdvisor: a comprehensive benchmarking tool for the measure and prediction of RNA structural model quality. - Clement Bernard; Guillaume Postic; Sahar Ghannay; Fariza Tahi (Briefings Bioinform., 2024)

Diart: A Python Library for Real-Time Speaker Diarization. - Juan Manuel Coria; Hervé Bredin; Sahar Ghannay; Sophie Rosset; Khaled Zaouk; Ingo Fruend; Bertrand Higy; Amit Kesari; Yagna Thakkar (J. Open Source Softw., 2024)

Diart: A Python Library for Real-Time Speaker Diarization. - Juan Manuel Coria; Hervé Bredin; Sahar Ghannay; Sophie Rosset; Khaled Zaouk; Ingo Fruend; Bertrand Higy; Amit Kesari; Yagna Thakkar (Zenodo, 2024)

Evaluating the Confidentiality of Synthetic Clinical Texts Generated by Language Models. - Foucauld Estignard; Sahar Ghannay; Julien Girard-Satabin; Nicolas Hiebel; Aurélie Névéol (AIME (1), 2025)

Entity-Aware Cross-Modal Pretraining for Knowledge-Based Visual Question Answering. - Omar Adjali; Olivier Ferret; Sahar Ghannay; Hervé Le Borgne (ECIR (3), 2025)

XAI for Gender Representation in Media Analysis. - François Buet; Camille Guinaudeau; Cyril Grouin; Sahar Ghannay; Shin'ichi Satoh 001 (ICASSP, 2025)

Leveraging Information Retrieval to Enhance Spoken Language Understanding Prompts in Few-Shot Learning. - Pierre Lepagnol; Sahar Ghannay; Thomas Gerald; Christophe Servan; Sophie Rosset (CoRR, 2025)