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2020 – today
- 2024
[j3]Titouan Parcollet, Ha Nguyen, Solène Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia A. Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Estève, Mickael Rouvier, Jérôme Goulian, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech. Comput. Speech Lang. 86: 101622 (2024)- [c50]Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Daniel Audibert, Xingyu Liu, Cécile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix E. Herron, Magali Norré, Massih-Reza Amini, Pierrette Bouillon, Iris Eshkol-Taravella, Emmanuelle Esperança-Rodier, Thomas François, Lorraine Goeuriot, Jérôme Goulian, Mathieu Lafourcade, Benjamin Lecouteux, François Portet, Fabien Ringeval, Vincent Vandeghinste, Maximin Coavoux, Marco Dinarelli, Didier Schwab:
Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains. LREC/COLING 2024: 9463-9476 - [c49]Gabriela González Sáez, Fabien Lopez, Mariam Nakhlé, James Turner, Nicolas Ballier, Marco Dinarelli, Emmanuelle Esperança-Rodier, Sui He, Caroline Rossi, Didier Schwab, Jun Yang:
The MAKE-NMTViz Project: Meaningful, Accurate and Knowledge-limited Explanations of NMT Systems for Translators. EAMT (2) 2024: 12-13 - [c48]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:
Exploring NMT Explainability for Translators Using NMT Visualising Tools. EAMT (1) 2024: 396-410 - [c47]Ryan Whetten, Titouan Parcollet, Marco Dinarelli, Yannick Estève:
Open Implementation and Study of Best-RQ for Speech Processing. ICASSP Workshops 2024: 460-464 - [c46]Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Audibert, Xingyu Liu, Cécile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix E. Herron, Magali Norré, Massih-Reza Amini, Pierrette Bouillon, Iris Eshkol-Taravella, Emmanuelle Esparança-Rodier, Thomas François, Lorraine Goeuriot, Jérôme Goulian, Mathieu Lafourcade, Benjamin Lecouteux, François Portet, Fabien Ringeval, Vincent Vandeghinste, Maximin Coavoux, Marco Dinarelli, Didier Schwab:
Jargon : Une suite de modèles de langues et de référentiels d'évaluation pour les domaines spécialisés du français. TALN (2) 2024: 9-10 - [c45]Ryan Whetten, Titouan Parcollet, Marco Dinarelli, Yannick Estève:
Implémentation ouverte et étude de BEST-RQ pour le traitement de la parole. TALN (JEP) 2024: 412-420 - [i18]Ryan Whetten, Titouan Parcollet, Marco Dinarelli, Yannick Estève:
Open Implementation and Study of BEST-RQ for Speech Processing. CoRR abs/2405.04296 (2024) - [i17]Ryan Whetten, Titouan Parcollet, Adel Moumen, Marco Dinarelli, Yannick Estève:
An Analysis of Linear Complexity Attention Substitutes with BEST-RQ. CoRR abs/2409.02596 (2024) - 2023
- [c44]Elisa Gugliotta, Marco Dinarelli:
An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi Corpus. LDK 2023: 154-165 - [c43]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, Jun Yang
, Jean-Baptiste Yunès, Lichao Zhu:
The MAKE-NMTVIZ System Description for the WMT23 Literary Task. WMT 2023: 287-295 - [i16]Lorenzo Lupo, Marco Dinarelli, Laurent Besacier:
Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation. CoRR abs/2302.06459 (2023) - [i15]Titouan Parcollet, Ha Nguyen, Solène Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia A. Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Estève, Mickael Rouvier, Jérôme Goulian, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech. CoRR abs/2309.05472 (2023) - 2022
- [c42]Lorenzo Lupo, Marco Dinarelli, Laurent Besacier:
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models. ACL (1) 2022: 4557-4572 - [c41]Marco Dinarelli, Marco Naguib, François Portet:
Toward Low-Cost End-to-End Spoken Language Understanding. INTERSPEECH 2022: 2728-2732 - [c40]Elisa Gugliotta, Marco Dinarelli:
TArC: Tunisian Arabish Corpus, First complete release. LREC 2022: 1125-1136 - [c39]Marco Naguib, François Portet, Marco Dinarelli:
Vers la compréhension automatique de la parole bout-en-bout à moindre effort (Towards automatic end-to-end speech understanding with less effort). TALN-RECITAL 2022: 257-268 - [c38]Lorenzo Lupo, Marco Dinarelli, Laurent Besacier:
Focused Concatenation for Context-Aware Neural Machine Translation. WMT 2022: 830-842 - [i14]Marco Naguib, François Portet, Marco Dinarelli:
Vers la compréhension automatique de la parole bout-en-bout à moindre effort. CoRR abs/2207.00349 (2022) - [i13]Marco Dinarelli, Marco Naguib, François Portet:
Toward Low-Cost End-to-End Spoken Language Understanding. CoRR abs/2207.00352 (2022) - [i12]Elisa Gugliotta, Marco Dinarelli:
TArC: Tunisian Arabish Corpus First complete release. CoRR abs/2207.04796 (2022) - [i11]Lorenzo Lupo, Marco Dinarelli, Laurent Besacier:
Focused Concatenation for Context-Aware Neural Machine Translation. CoRR abs/2210.13388 (2022) - 2021
- [c37]Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. Interspeech 2021: 1439-1443 - [c36]Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. NeurIPS Datasets and Benchmarks 2021 - [i10]Lorenzo Lupo, Marco Dinarelli, Laurent Besacier:
Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources. CoRR abs/2103.17151 (2021) - [i9]Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. CoRR abs/2104.11462 (2021) - 2020
- [c35]Marco Dinarelli, Nikita Kapoor, Bassam Jabaian, Laurent Besacier:
A Data Efficient End-to-End Spoken Language Understanding Architecture. ICASSP 2020: 8519-8523 - [c34]Elisa Gugliotta, Marco Dinarelli:
TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus. LREC 2020: 6279-6286 - [c33]Elisa Gugliotta, Marco Dinarelli:
TArC. Un corpus d'arabish tunisien. JEP-TALN-RECITAL (2) 2020: 232-240 - [c32]Elisa Gugliotta, Marco Dinarelli, Olivier Kraif:
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation. WANLP@COLING 2020: 178-191 - [i8]Marco Dinarelli, Nikita Kapoor, Bassam Jabaian, Laurent Besacier:
A Data Efficient End-To-End Spoken Language Understanding Architecture. CoRR abs/2002.05955 (2020) - [i7]Elisa Gugliotta, Marco Dinarelli:
TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus. CoRR abs/2003.09520 (2020) - [i6]Elisa Gugliotta, Marco Dinarelli, Olivier Kraif:
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation. CoRR abs/2011.05152 (2020)
2010 – 2019
- 2019
- [c31]Marco Dinarelli, Loïc Grobol:
Modèles neuronaux hybrides pour la modélisation de séquences : le meilleur de trois mondes (). PFIA (Articles longs) 2019: 127-142 - [i5]Marco Dinarelli, Loïc Grobol:
Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling. CoRR abs/1904.04733 (2019) - [i4]Marco Dinarelli, Loïc Grobol:
Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds. CoRR abs/1909.07102 (2019) - 2018
- [c30]Loïc Grobol, Isabelle Tellier, Éric Villemonte de la Clergerie, Marco Dinarelli, Frédéric Landragin:
ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations. LREC 2018 - 2017
- [c29]Yoann Dupont, Marco Dinarelli, Isabelle Tellier:
Label-Dependencies Aware Recurrent Neural Networks. CICLing (1) 2017: 44-66 - [c28]Yoann Dupont, Marco Dinarelli, Isabelle Tellier, Christian Lautier:
Structured Named Entity Recognition by Cascading CRFs. CICLing (1) 2017: 249-263 - [c27]Marco Dinarelli, Vedran Vukotic, Christian Raymond:
Label-Dependency Coding in Simple Recurrent Networks for Spoken Language Understanding. INTERSPEECH 2017: 2491-2495 - [c26]Yoann Dupont, Marco Dinarelli, Isabelle Tellier:
Réseaux neuronaux profonds pour l'étiquetage de séquences (Deep Neural Networks for Sequence Labeling). TALN (2) 2017: 19-27 - [c25]Tian Tian, Isabelle Tellier, Marco Dinarelli, Pedro Cardoso:
Détection des mots non-standards dans les tweets avec des réseaux de neurones (Detecting non-standard words in tweets with neural networks). TALN (2) 2017: 174-182 - [c24]Loïc Grobol, Isabelle Tellier, Éric de la Clergerie, Marco Dinarelli, Frédéric Landragin:
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). TALN (2) 2017: 200-208 - [i3]Yoann Dupont, Marco Dinarelli, Isabelle Tellier:
Label-Dependencies Aware Recurrent Neural Networks. CoRR abs/1706.01740 (2017) - [i2]Marco Dinarelli, Yoann Dupont, Isabelle Tellier:
Effective Spoken Language Labeling with Deep Recurrent Neural Networks. CoRR abs/1706.06896 (2017) - 2016
- [c23]Marco Dinarelli, Isabelle Tellier:
New Recurrent Neural Network Variants for Sequence Labeling. CICLing (1) 2016: 155-173 - [c22]Adèle Désoyer, Frédéric Landragin, Isabelle Tellier, Anaïs Lefeuvre, Jean-Yves Antoine, Marco Dinarelli:
Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR. CICLing (1) 2016: 507-519 - [c21]Yoann Dupont, Isabelle Tellier, Christian Lautier, Marco Dinarelli:
Extraction automatique d'affixes pour la reconnaissance d'entités nommées chimiques. EGC 2016: 531-532 - [c20]Tian Tian, Marco Dinarelli, Isabelle Tellier, Pedro Miguel Dias Cardoso:
Domain Adaptation for Named Entity Recognition Using CRFs. LREC 2016 - [c19]Marco Dinarelli, Isabelle Tellier:
Étude des réseaux de neurones récurrents pour étiquetage de séquences (A study of Recurrent Neural Networks for Sequence Labelling). JEP-TALN-RECITAL (2) 2016: 98-111 - [i1]Marco Dinarelli, Isabelle Tellier:
Improving Recurrent Neural Networks For Sequence Labelling. CoRR abs/1606.02555 (2016) - 2015
- [c18]Tian Tian, Marco Dinarelli, Isabelle Tellier:
Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF. NUT@IJCNLP 2015: 68-71 - [c17]Tian Tian, Marco Dinarelli, Isabelle Tellier, Pedro Cardoso:
Etiquetage morpho-syntaxique de tweets avec des CRF. TALN 2015: 291-297 - 2014
- [c16]Anne Garcia-Fernandez, Olivier Ferret, Marco Dinarelli:
Evaluation of different strategies for domain adaptation in opinion mining. LREC 2014: 3877-3880 - 2013
- [c15]Alexandre Allauzen, Nicolas Pécheux, Quoc-Khanh Do, Marco Dinarelli, Thomas Lavergne, Aurélien Max, Hai Son Le, François Yvon:
LIMSI @ WMT13. WMT@ACL 2013: 62-69 - 2012
- [j2]Marco Dinarelli, Alessandro Moschitti, Giuseppe Riccardi:
Discriminative Reranking for Spoken Language Understanding. IEEE Trans. Speech Audio Process. 20(2): 526-539 (2012) - [c14]Marco Dinarelli, Sophie Rosset:
Tree Representations in Probabilistic Models for Extended Named Entities Detection. EACL 2012: 174-184 - [c13]Marco Dinarelli, Sophie Rosset:
Tree-Structured Named Entity Recognition on OCR Data: Analysis, Processing and Results. LREC 2012: 1266-1272 - 2011
- [j1]Stefan Hahn, Marco Dinarelli, Christian Raymond, Fabrice Lefèvre, Patrick Lehnen, Renato de Mori, Alessandro Moschitti, Hermann Ney, Giuseppe Riccardi:
Comparing Stochastic Approaches to Spoken Language Understanding in Multiple Languages. IEEE Trans. Speech Audio Process. 19(6): 1569-1583 (2011) - [c12]Marco Dinarelli, Sophie Rosset:
Hypotheses Selection Criteria in a Reranking Framework for Spoken Language Understanding. EMNLP 2011: 1104-1115 - [c11]Marco Dinarelli, Sophie Rosset:
Models Cascade for Tree-Structured Named Entity Detection. IJCNLP 2011: 1269-1278 - [c10]Anne Garcia-Fernandez, Anne-Laure Ligozat, Marco Dinarelli, Delphine Bernhard:
When Was It Written? Automatically Determining Publication Dates. SPIRE 2011: 221-236 - 2010
- [b1]Marco Dinarelli:
Spoken Language Understanding: from Spoken Utterances to Semantic Structures. University of Trento, Italy, 2010 - [c9]Marco Dinarelli, Evgeny A. Stepanov, Sebastian Varges, Giuseppe Riccardi:
The LUNA Spoken Dialogue System: Beyond utterance classification. ICASSP 2010: 5366-5369 - [c8]Marco Dinarelli, Alessandro Moschitti, Giuseppe Riccardi:
Hypotheses selection for re-ranking semantic annotations. SLT 2010: 407-411
2000 – 2009
- 2009
- [c7]Silvia Quarteroni, Marco Dinarelli, Giuseppe Riccardi:
Ontology-based grounding of Spoken Language Understanding. ASRU 2009: 438-443 - [c6]Marco Dinarelli, Alessandro Moschitti, Giuseppe Riccardi:
Re-Ranking Models for Spoken Language Understanding. EACL 2009: 202-210 - [c5]Marco Dinarelli, Alessandro Moschitti, Giuseppe Riccardi:
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding. EMNLP 2009: 1076-1085 - [c4]Silvia Quarteroni, Giuseppe Riccardi, Marco Dinarelli:
What's in an ontology for spoken language understanding. INTERSPEECH 2009: 1023-1026 - [c3]Marco Dinarelli, Alessandro Moschitti, Giuseppe Riccardi:
Concept segmentation and labeling for conversational speech. INTERSPEECH 2009: 2747-2750 - 2008
- [c2]Marco Dinarelli, Alessandro Moschitti, Giuseppe Riccardi:
Joint generative and discriminative models for spoken language understanding. SLT 2008: 61-64 - [c1]Arianna Bisazza, Marco Dinarelli, Silvia Quarteroni, Sara Tonelli, Alessandro Moschitti, Giuseppe Riccardi:
Semantic annotations for conversational speech: From speech transcriptions to predicate argument structures. SLT 2008: 65-68
Coauthor Index
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last updated on 2024-11-07 20:34 CET by the dblp team
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