Semantic annotations for conversational speech: From speech transcriptions to predicate argument structures. - Arianna Bisazza; Marco Dinarelli; Silvia Quarteroni; Sara Tonelli; Alessandro Moschitti; Giuseppe Riccardi (SLT, 2008)

Joint generative and discriminative models for spoken language understanding. - Marco Dinarelli; Alessandro Moschitti; Giuseppe Riccardi (SLT, 2008)

Ontology-based grounding of Spoken Language Understanding. - Silvia Quarteroni; Marco Dinarelli; Giuseppe Riccardi (ASRU, 2009)

Re-Ranking Models for Spoken Language Understanding. - Marco Dinarelli; Alessandro Moschitti; Giuseppe Riccardi (EACL, 2009)

Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding. - Marco Dinarelli; Alessandro Moschitti; Giuseppe Riccardi (EMNLP, 2009)

Concept segmentation and labeling for conversational speech. - Marco Dinarelli; Alessandro Moschitti; Giuseppe Riccardi (INTERSPEECH, 2009)

What's in an ontology for spoken language understanding. - Silvia Quarteroni; Giuseppe Riccardi; Marco Dinarelli (INTERSPEECH, 2009)

The LUNA Spoken Dialogue System: Beyond utterance classification. - Marco Dinarelli; Evgeny A. Stepanov; Sebastian Varges; Giuseppe Riccardi (ICASSP, 2010)

Hypotheses selection for re-ranking semantic annotations. - Marco Dinarelli; Alessandro Moschitti; Giuseppe Riccardi (SLT, 2010)

Spoken Language Understanding: from Spoken Utterances to Semantic Structures. - Marco Dinarelli (2010)

Hypotheses Selection Criteria in a Reranking Framework for Spoken Language Understanding. - Marco Dinarelli; Sophie Rosset (EMNLP, 2011)

Models Cascade for Tree-Structured Named Entity Detection. - Marco Dinarelli; Sophie Rosset (IJCNLP, 2011)

When Was It Written? Automatically Determining Publication Dates. - Anne Garcia-Fernandez; Anne-Laure Ligozat; Marco Dinarelli; Delphine Bernhard (SPIRE, 2011)

Comparing Stochastic Approaches to Spoken Language Understanding in Multiple Languages. - Stefan Hahn; Marco Dinarelli; Christian Raymond; Fabrice Lefèvre; Patrick Lehnen; Renato de Mori; Alessandro Moschitti; Hermann Ney; Giuseppe Riccardi (IEEE Trans. Speech Audio Process., 2011)

Tree Representations in Probabilistic Models for Extended Named Entities Detection. - Marco Dinarelli; Sophie Rosset (EACL, 2012)

Tree-Structured Named Entity Recognition on OCR Data: Analysis, Processing and Results. - Marco Dinarelli; Sophie Rosset (LREC, 2012)

Discriminative Reranking for Spoken Language Understanding. - Marco Dinarelli; Alessandro Moschitti; Giuseppe Riccardi (IEEE Trans. Speech Audio Process., 2012)

LIMSI @ WMT13. - Alexandre Allauzen; Nicolas Pécheux; Quoc-Khanh Do; Marco Dinarelli; Thomas Lavergne; Aurélien Max; Hai Son Le; François Yvon (WMT@ACL, 2013)

Evaluation of different strategies for domain adaptation in opinion mining. - Anne Garcia-Fernandez; Olivier Ferret; Marco Dinarelli (LREC, 2014)

Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF. - Tian Tian 005; Marco Dinarelli; Isabelle Tellier (NUT@IJCNLP, 2015)

Etiquetage morpho-syntaxique de tweets avec des CRF. - Tian Tian 005; Marco Dinarelli; Isabelle Tellier; Pedro Cardoso (TALN, 2015)

Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR. - Adèle Désoyer; Frédéric Landragin; Isabelle Tellier; Anaïs Lefeuvre; Jean-Yves Antoine; Marco Dinarelli (CICLing (1), 2016)

New Recurrent Neural Network Variants for Sequence Labeling. - Marco Dinarelli; Isabelle Tellier (CICLing (1), 2016)

Extraction automatique d'affixes pour la reconnaissance d'entités nommées chimiques. - Yoann Dupont; Isabelle Tellier; Christian Lautier; Marco Dinarelli (EGC, 2016)

Domain Adaptation for Named Entity Recognition Using CRFs. - Tian Tian 005; Marco Dinarelli; Isabelle Tellier; Pedro Miguel Dias Cardoso (LREC, 2016)

Étude des réseaux de neurones récurrents pour étiquetage de séquences (A study of Recurrent Neural Networks for Sequence Labelling). - Marco Dinarelli; Isabelle Tellier (JEP-TALN-RECITAL (2), 2016)

Improving Recurrent Neural Networks For Sequence Labelling. - Marco Dinarelli; Isabelle Tellier (CoRR, 2016)

Label-Dependencies Aware Recurrent Neural Networks. - Yoann Dupont; Marco Dinarelli; Isabelle Tellier (CICLing (1), 2017)

Structured Named Entity Recognition by Cascading CRFs. - Yoann Dupont; Marco Dinarelli; Isabelle Tellier; Christian Lautier (CICLing (1), 2017)

Label-Dependency Coding in Simple Recurrent Networks for Spoken Language Understanding. - Marco Dinarelli; Vedran Vukotic; Christian Raymond (INTERSPEECH, 2017)

Réseaux neuronaux profonds pour l'étiquetage de séquences (Deep Neural Networks for Sequence Labeling). - Yoann Dupont; Marco Dinarelli; Isabelle Tellier (TALN (2), 2017)

Apports des analyses syntaxiques pour la détection automatique de mentions dans un corpus de français oral (Experiences in using deep and shallow parsing to detect entity mentions in oral French). - Loïc Grobol; Isabelle Tellier; Éric de la Clergerie; Marco Dinarelli; Frédéric Landragin (TALN (2), 2017)

Détection des mots non-standards dans les tweets avec des réseaux de neurones (Detecting non-standard words in tweets with neural networks). - Tian Tian 005; Isabelle Tellier; Marco Dinarelli; Pedro Cardoso (TALN (2), 2017)

Effective Spoken Language Labeling with Deep Recurrent Neural Networks. - Marco Dinarelli; Yoann Dupont; Isabelle Tellier (CoRR, 2017)

ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations. - Loïc Grobol; Isabelle Tellier; Éric Villemonte de la Clergerie; Marco Dinarelli; Frédéric Landragin (LREC, 2018)

Modèles neuronaux hybrides pour la modélisation de séquences : le meilleur de trois mondes (). - Marco Dinarelli; Loïc Grobol (PFIA (Articles longs), 2019)

Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling. - Marco Dinarelli; Loïc Grobol (CoRR, 2019)

Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds. - Marco Dinarelli; Loïc Grobol (CoRR, 2019)

A Data Efficient End-to-End Spoken Language Understanding Architecture. - Marco Dinarelli; Nikita Kapoor; Bassam Jabaian; Laurent Besacier (ICASSP, 2020)

TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus. - Elisa Gugliotta; Marco Dinarelli (LREC, 2020)

TArC. Un corpus d'arabish tunisien. - Elisa Gugliotta; Marco Dinarelli (JEP-TALN-RECITAL (2), 2020)

Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation. - Elisa Gugliotta; Marco Dinarelli; Olivier Kraif (WANLP@COLING, 2020)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (Interspeech, 2021)

Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (NeurIPS Datasets and Benchmarks, 2021)

Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources. - Lorenzo Lupo; Marco Dinarelli; Laurent Besacier (CoRR, 2021)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (CoRR, 2021)

Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models. - Lorenzo Lupo; Marco Dinarelli; Laurent Besacier (ACL (1), 2022)

Toward Low-Cost End-to-End Spoken Language Understanding. - Marco Dinarelli; Marco Naguib; François Portet (INTERSPEECH, 2022)

TArC: Tunisian Arabish Corpus, First complete release. - Elisa Gugliotta; Marco Dinarelli (LREC, 2022)

Vers la compréhension automatique de la parole bout-en-bout à moindre effort (Towards automatic end-to-end speech understanding with less effort). - Marco Naguib; François Portet; Marco Dinarelli (TALN-RECITAL, 2022)

Focused Concatenation for Context-Aware Neural Machine Translation. - Lorenzo Lupo; Marco Dinarelli; Laurent Besacier (WMT, 2022)

Vers la compréhension automatique de la parole bout-en-bout à moindre effort. - Marco Naguib; François Portet; Marco Dinarelli (CoRR, 2022)

An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi Corpus. - Elisa Gugliotta; Marco Dinarelli (LDK, 2023)

The MAKE-NMTVIZ System Description for the WMT23 Literary Task. - Fabien Lopez; Gabriela González Sáez; Damien Hansen; Mariam Nakhlé; Behnoosh Namdarzadeh; Nicolas Ballier; Marco Dinarelli; Emmanuelle Esperança-Rodier; Sui He; Sadaf Mohseni; Caroline Rossi; Didier Schwab; et al. (WMT, 2023)

Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation. - Lorenzo Lupo; Marco Dinarelli; Laurent Besacier (CoRR, 2023)

Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains. - Vincent Segonne; Aidan Mannion; Laura Cristina Alonzo Canul; Alexandre Daniel Audibert; Xingyu Liu; Cécile Macaire; Adrien Pupier; Yongxin Zhou 004; Mathilde Aguiar; Felix Herron; Magali Norré; Massih-Reza Amini; et al. (LREC/COLING, 2024)

The MAKE-NMTViz Project: Meaningful, Accurate and Knowledge-limited Explanations of NMT Systems for Translators. - Gabriela González Sáez; Fabien Lopez; Mariam Nakhlé; James Turner; Nicolas Ballier; Marco Dinarelli; Emmanuelle Esperança-Rodier; Sui He; Caroline Rossi; Didier Schwab; Jun Yang (EAMT (2), 2024)

Exploring NMT Explainability for Translators Using NMT Visualising Tools. - Gabriela González Sáez; Mariam Nakhlé; James Turner; Fabien Lopez; Nicolas Ballier; Marco Dinarelli; Emmanuelle Esperança-Rodier; Sui He; Raheel Qader; Caroline Rossi; Didier Schwab; Jun Yang (EAMT (1), 2024)

Open Implementation and Study of Best-RQ for Speech Processing. - Ryan Whetten; Titouan Parcollet; Marco Dinarelli; Yannick Estève (ICASSP Workshops, 2024)

An Analysis of Linear Complexity Attention Substitutes With Best-RQ. - Ryan Whetten; Titouan Parcollet; Adel Moumen; Marco Dinarelli; Yannick Estève (SLT, 2024)

Jargon : Une suite de modèles de langues et de référentiels d'évaluation pour les domaines spécialisés du français. - Vincent Segonne; Aidan Mannion; Laura Cristina Alonzo Canul; Alexandre Audibert; Xingyu Liu; Cécile Macaire; Adrien Pupier; Yongxin Zhou 004; Mathilde Aguiar; Felix Herron; Magali Norré; Massih-Reza Amini; et al. (TALN (2), 2024)

Implémentation ouverte et étude de BEST-RQ pour le traitement de la parole. - Ryan Whetten; Titouan Parcollet; Marco Dinarelli; Yannick Estève (TALN (JEP), 2024)

LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech. - Titouan Parcollet; Ha Nguyen; Solène Evain; Marcely Zanon Boito; Adrien Pupier; Salima Mdhaffar; Hang Le 001; Sina Alisamir; Natalia A. Tomashenko; Marco Dinarelli; Shucong Zhang; Alexandre Allauzen; et al. (Comput. Speech Lang., 2024)

Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains: Data. - Vincent Segonne; Aidan Mannion; Laura Cristina Alonzo Canul; Alexandre Audibert; Xingyu Liu; Cécile Macaire; Adrien Pupier; Yongxin Zhou 004; Mathilde Aguiar; Felix Herron; Magali Norré; Massih-Reza Amini; et al. (Zenodo, 2024)

DOLFIN - Document-Level Financial Test-Set for Machine Translation. - Mariam Nakhlé; Marco Dinarelli; Raheel Qader; Emmanuelle Esperança-Rodier; Hervé Blanchon (NAACL (Findings), 2025)

Beyond Static Emotions: Leveraging Multitask Learning to Model Dynamics of Dimensional Affect in Speech. - Yuxuan Zhang; Hippolyte Fournier; Ruslan Kalitvianski; Marco Dinarelli; Fabien Ringeval (TSD (1), 2025)

Towards Early Prediction of Self-Supervised Speech Model Performance. - Ryan Whetten; Lucas Maison; Titouan Parcollet; Marco Dinarelli; Yannick Estève (CoRR, 2025)