Scientific publications

74)  M. Nakhlé, Marco Dinarelli, R. Qader, E. Esperança-Rodier, H. Blanchon
DOLFIN - Document-Level Financial Test-Set for Machine Translation
Findings of the North American Chapter of the Association for Computational Linguistics (NAACL), Albuquerque, 2025
Accepted for publication

73)  E. Gugliotta, A. Massaro, G. Mion, Marco Dinarelli
Definiteness In Tunisian Arabizi: Some Data From Statistical Approaches
Journal Romano Arabica, 2024.
Accepted for publication

72)  R. Whetten, T. Parcollet, Marco Dinarelli, Y. Estève
An Analysis of Linear Complexity Attention Substitutes with BEST-RQ
International Spoken Language Technology Workshop, Macao, 2024.

71)  V. Segonne, A. Mannion, A. Audibert, L. Xingyu, C. Macaire, A. Pupier, Y. Zhou, M. Aguiar, N. Magali, F. Herron, I. Eshkol Taravella, T. François, L. Goeuriot, J. Goulian, M. Lafourcade, B. Lecouteux, F. Portet, F. Ringeval, M. Coavoux, V. Vandeghinste, Marco Dinarelli, L. Alonzo-Canul, A. Massih-Reza, P. Bouillon, D. Schwab, E. Esparança-Rodier
Jargon : Une suite de modèles de langues et de référentiels d'évaluation pour les domaines spécialisés du français
Journées d'Études sur la Parole, Toulouse, 2024.

70)  R. Whetten, T. Parcollet, Marco Dinarelli, Y. Estève
Implémentation ouverte et étude de BEST-RQ pour le traitement de la parole
Journées d'Études sur la Parole, Toulouse, 2024.

69)  G. Gonzalez-Saez, F. Lopez, M. Nakhlé,, Marco Dinarelli, E. Esperança-Rodier, S. He, C. Rossi, D. Schwab, J. Yang, J.R. Turner, N. Ballier
The MAKE-NMTViz Project: Meaningful, Accurate and Knowledge-limited Explanations of NMT Systems for Translators
25th Annual Conference of the European Association for Machine Translation, Sheffield, 2024.

68)  G. Gonzalez-Saez, M. Nakhlé, J.R. Turner, F. Lopez, N. Ballier, Marco Dinarelli, E. Esperança-Rodier, S. He, R. Qader, C. Rossi, D. Schwab, J. Yang
Exploring NMT Explainability for Translators Using NMT Visualising Tools
25th Annual Conference of the European Association for Machine Translation, Sheffield, 2024.

67)  Marco Dinarelli, D. Niaouri, F. Lopez, G. Gonzalez-Saez, M. Nakhle, E. Esperança-Rodier, C. Rossi, D. Schwab, N. Ballier
Context-Aware Neural Machine Translation Models Analysis And Evaluation Through Attention
TAL Journal, special issue on Explicabilité des modèles de TAL, volume 64-3, 2024.

66)  V. Segonne, A. Mannion, L. C. Alonzo Canul, A. Audibert, X. Liu, C. Macaire, A. Pupier, Y. Zhou, M. Aguiar, F. Herron, M. Norré, M. R. Amini, P. Bouillon, I. Eshkol-Taravella, E. Esperança-Rodier, T. François, L. Goeuriot, J. Goulian, M. Lafourcade, B. Lecouteux, F. Portet, F. Ringeval, V. Vandeghinste, M. Coavoux, Marco Dinarelli, D. Schwab
Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains
LREC-COLING International Conference, Turin, 2024.

65)  R. Whetten, T. Parcollet, Marco Dinarelli, Y. Estève
Open Implementation and Study of BEST-RQ for Speech Processing
ICASSP Workshop on Self-Supervision in Audio, Speech and Beyond (SASB), Seoul, 2024.

64)  T. Parcollet, H. Nguyen, S. Evain, H. Le, M. Zanon Boito, S. Mdhaffar, S. Alisamir, Z. Tong, N. Tomashenko, Marco Dinarelli, A. Allauzen, Y. Esteve, B. Lecouteux, F. Portet, S. Rossato, F. Ringeval, D. Schwab, L. Besacier
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech
Journal on Computer Speech and Language (CSL), Volume 86, Elsevier, 2024.

63)  F. Lopez, G. González-Sáez, D. Hansen, M. Nakhlé, B. Namdarzadeh, Marco Dinarelli, E. Esperança-Rodier, S. He, S. Mohseni, C. Rossi, D. Schwab, J. Yang, J.-B. Yunès, L. Zhu, N. Ballier
The MAKE-NMTViz System Description for the WMT23 Literary Task
WMT Conference, Singapore, 2023.

62)  E. Gugliotta, Marco Dinarelli
An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi Corpus
Language, Data and Knowledge Conference (LDK), Vienna, Austria, 2023.

61)  L. Lupo, Marco Dinarelli, L. Besacier
Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation
Workshop on Insights from Negative Results in NLP, Dubrovnik, Croatia, 2023.

60)  L. Lupo, Marco Dinarelli, L. Besacier
Focused Concatenation for Context-Aware Neural Machine Translation
Seventh Conference on Machine Translation, Abu Dhabi, 2022.

59)  Marco Dinarelli, M. Naguib, F. Portet
Toward Low-Cost End-to-End Spoken Language Understanding
Interspeech, Incheon, Korea, 2022.

58)  M. Naguib, F. Portet, Marco Dinarelli
Vers la compréhension automatique de la parole bout-en-bout à moindre effort
Traitement Automatique des Langues Naturelles, Avignon, France, 2022.

57)  E. Gugliotta, Marco Dinarelli
TArC: Tunisian Arabish Corpus, First complete release
Language Resources and Evaluation Conference (LREC), Marseille, France, 2022.

56)  S. Evain, H. Nguyen, H. Le, M. Zanon Boito, S. Mdhaffar, S. Alisamir, Z. Tong, N. Tomashenko, Marco Dinarelli, T. Parcollet, A. Allauzen, Y. Esteve, B. Lecouteux, F. Portet, S. Rossato, F. Ringeval, D. Schwab, L. Besacier
LeBenchmark, un référentiel d'évaluation pour le français oral
Journée d'Étude sur la Parole, Île de Noirmoutier, France, 2022.

55)  S. Evain, H. Nguyen, H. Le, M. Zanon Boito, S. Mdhaffar, S. Alisamir, Z. Tong, N. Tomashenko, Marco Dinarelli, T. Parcollet, A. Allauzen, Y. Esteve, B. Lecouteux, F. Portet, S. Rossato, F. Ringeval, D. Schwab, L. Besacier
Modèles neuronaux pré-appris par auto-supervision sur des enregistrements de parole en français
Journée d'Étude sur la Parole, Île de Noirmoutier, France, 2022.

54)  L. Lupo, Marco Dinarelli, L. Besacier
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models
Association for Computational Linguistics, 2022.
Pre-print of an earlier version available on arXiv

53)  S. Evain, H. Nguyen, H. Le, M. Zanon Boito, S. Mdhaffar, S. Alisamir, Z. Tong, N. Tomashenko, Marco Dinarelli, T. Parcollet, A. Allauzen, Y. Esteve, B. Lecouteux, F. Portet, S. Rossato, F. Ringeval, D. Schwab, L. Besacier
Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark
In proceedings of NeurIPS, Datasets and Benchmarks Track, 2021.

52)  S. Evain, H. Nguyen, H. Le, M. Zanon Boito, S. Mdhaffar, S. Alisamir, Z. Tong, N. Tomashenko, Marco Dinarelli, T. Parcollet, A. Allauzen, Y. Esteve, B. Lecouteux, F. Portet, S. Rossato, F. Ringeval, D. Schwab, L. Besacier
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In proceedings of Interspeech, Brno, Czech, 2021.

51)  L. Lupo, Marco Dinarelli, L. Besacier
Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources
arXiv preprint, 2021.

50)  E. Gugliotta, Marco Dinarelli, O. Kraif
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation
The Fifth Arabic Natural Language Processing Workshop (WANLP), Barcelona, Spain, 2020.

49)  E. Gugliotta, Marco Dinarelli
TArC Un corpus d'Arabish tunisien
Traitement Automatique des Langues Naturelles, Nancy, France, 2020.

48)  E. Gugliotta, Marco Dinarelli
TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus
Language Resources and Evaluation Conference (LREC), Marseille, France, 2020.

47)  Marco Dinarelli, N. Kapoor, B. Jabaian, L. Besacier
A Data-Efficient End-to-End Spoken Language Understanding Architecture
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.

46)  Marco Dinarelli, L. Grobol
Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds
arXiv Technical Report, 2019.
English translation of the 2019 TALN paper

45)  Marco Dinarelli, L. Grobol
Modèles neuronaux hybrides pour la modélisation de séquences : le meilleur de trois mondes
Traitement Automatique des Langues Naturelles, Toulouse, France, 2019.

44)  Marco Dinarelli, L. Grobol
Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling
International Conference on Intelligent Text Processing and Computational Linguistics (CICling), La Rochelle, France, 2019.

43)  Marco Dinarelli, L. Grobol
Modélisation d'un contexte global d'étiquettes pour l'étiquetage de séquences dans les réseaux neuronaux récurrents
Journée TAL\&IA, Nancy, France, 2018.

42)  L. Grobol, I. Tellier, E. De La Clergerie, Marco Dinarelli, F. Landragin
ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations
Language Resources and Evaluation Conference (LREC), Miyazaki, Japan, 2018.

41)  Marco Dinarelli, Y. Dupont, I. Tellier
Effective Spoken Language Labeling with Deep Recurrent Neural Networks
arXiv Technical Report, 2017.

40)  Marco Dinarelli, V. Vukotic, C. Raymond
Label-dependency coding in Simple Recurrent Networks for Spoken Language Understanding
In proceedings of Interspeech, Stockholm, Sweden, 2017.

39)  T. Tian, Marco Dinarelli, P. Cardoso, I. Tellier
Détection des mots non-standards dans les tweets avec des réseaux de neurones
Article court à Traitement Automatique des Langues Naturelles (TALN), Orléans, France, 2017.

38)  L. Grobol, I. Tellier, E. de La Clergerie, Marco Dinarelli, F. Landragin
Apports des analyses syntaxiques pour la détection automatique de mentions dans un corpus de français oral
Article court à Traitement Automatique des Langues Naturelles (TALN), Orléans, France, 2017.

37)  Y. Dupont, Marco Dinarelli, I. Tellier
Réseaux neuronaux profonds pour l’étiquetage de séquences
Article court à Traitement Automatique des Langues Naturelles (TALN), Orléans, France, 2017.

36)  Marco Dinarelli, Y. Dupont
Modélisation de dépendances entre étiquettes dans les réseaux neuronaux récurrents
Revue TAL (Traitement Automatique des Langues) Volume 58 Numéro 1, France, 2017.

35)  Y. Dupont, Marco Dinarelli, I. Tellier, C. Lautier
Structured Named Entity Recognition by Cascading CRFs
International Conference on Intelligent Text Processing and Computational Linguistics (CICling), Budapest, Hungary, 2017.
Published in Lecture Notes in Computer Sciences (LNCS), Springer

34)  Y. Dupont, Marco Dinarelli, I. Tellier
Label-Dependencies Aware Recurrent Neural Networks
International Conference on Intelligent Text Processing and Computational Linguistics (CICling), Budapest, Hungary, 2017.
Published in Lecture Notes in Computer Sciences (LNCS), Springer
Best Verifiability, Reproducibility, and Working Description award

33)  Marco Dinarelli, I. Tellier
Improving Recurrent Neural Networks for Sequence Labelling
arXiv Technical Report, 2016.

32)  Marco Dinarelli, I. Tellier
Étude des réseaux de neurones récurrents pour étiquetage de séquences
23ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), Paris, France, 2016.

31)  A. Désoyer, F. Landragin, I. Tellier, A. Lefevre, J.-Y. Antoine, Marco Dinarelli
Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR
International Conference on Intelligent Text Processing and Computational Linguistics (CICling), Konya, Turkey, 2016.
Published in Lecture Notes in Computer Sciences (LNCS), Springer

30)  T. Tian, I. Tellier, Marco Dinarelli, P. Dias Cardoso
Understanding Social Media Texts with Minimum Human Effort on #Twitter
Language and the new (instant) media (PLIN), Louvain-la-Neuve, Belgium, 2016.
Accepted for publication

29)  Marco Dinarelli, I. Tellier
New Recurrent Neural Network Variants for Sequence Labeling
International Conference on Intelligent Text Processing and Computational Linguistics (CICling), Konya, Turkey, 2016.
Published in Lecture Notes in Computer Sciences (LNCS), Springer

28)  T. Tian, Marco Dinarelli, I. Tellier, P. Dias Cardoso
Domain Adaptation for Named Entity Recognition Using CRFs
Language Resources Evaluation Conferences (LREC), Portoroz, Slovenia, 2016.

27)  Y. Dupont, I. Tellier, C. Lautier, Marco Dinarelli
Extraction automatique d'affixes pour la reconnaissance d'entités nommées chimiques
Extraction et Gestion des Connaissances, Reims, France, 2016.
Accepted for publication

26)  T. Tian, Marco Dinarelli, I. Tellier, P. Cardoso
Etiquetage morpho-syntaxique de tweets avec des CRF
Traitement Automatique des Langues Naturelles, Caen, France, 2015.

25)  T. Tian, Marco Dinarelli, I. Tellier
Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF
ACL Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition, Beijing, China, 2015.

24)  A. Garcia-Fernandez, O. Ferret, Marco Dinarelli
Evaluation of Different Strategies for Domain Adaptation in Opinion Mining
Language Resources and Evaluation Conference (LREC), Reykjavik, Iceland, 2014.

23)  A. Allauzen, N. Pécheux, Q.K. Do, Marco Dinarelli, T. Lavergne, A. Max, H.S. Le, F. Yvon
LIMSI @ WMT'13
Eighth Workshop on Statistical Machine Translation (WMT), Sophia, Bulgary, 2013.

22)  A. Garcia-Fernandez, A.L. Ligozat, Marco Dinarelli, D. Bernhard
Méthodes pour l'archéologie linguistique: datation par combinaison d'indices temporels
Expérimentations et évaluations en fouille de textes, un panorama des campagnes DEFT, sous la direction de Cyril Grouin et Dominic Forest, Hermes Lavoisier, 2012

21)  Marco Dinarelli, S. Rosset
Tree-Structured Named Entity Recognition on OCR Data: Analysis, Processing and Results
In Proceedings of the Language Resources and Evaluation Conference (LREC), Istanbul, Turkey, 2012.

20)  Marco Dinarelli, S. Rosset
Tree Representations in Probabilistic Models for Extended Named Entity Detection
In Proceedings of the European chapter of the Association for Computational Linguistics (EACL), Avignon, France, 2012.

19)  P. Zweigenbaum, C. Grouin, Marco Dinarelli, G. Wisniewski, S. Rosset
Résolution des coréférences dans des comptes rendus cliniques. Une expérimentation issue du défi i2b2/VA 2011
In proceedings of Reconnaissance des Formes et l'Intelligence Artificielle (RFIA), 2012

18)  Marco Dinarelli, A. Moschitti, G. Riccardi
Discriminative Reranking for Spoken Language Understanding
IEEE Journal of Transactions on Audio, Speech and Language Processing (TASLP), volume 20, issue 2, pages 526 - 539, 2012.

17)  C. Grouin, Marco Dinarelli, S. Rosset, G. Wisniewski, P. Zweigenbaum
Coreference Resolution in Clinical Reports. The LIMSI Participation in the i2b2/VA 2011 Challenge
In Proceedings of i2b2/VA 2011 Coreference Resolution Workshop, 2011.

16)  Marco Dinarelli, S. Rosset
Models Cascade for Tree-Structured Named Entity Detection
In Proceedings of International Joint Conference on Natural Language Processing (IJCNLP), Chiang Mai, Thailand, 2011.

15)  A. Garcia-Fernandez, A.L. Ligozat, Marco Dinarelli, D. Bernhard
When was it written ? Automatically Determining Publication Dates
In proceedings of String Processing and Information Retrieval (SPIRE), Pisa, Italy, 2011.
Draft

14)  Marco Dinarelli, S. Rosset
Hypotheses Selection Criteria in a Reranking Framework for Spoken Language Understanding
In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), Edinburgh, U.K., 2011.

13)  A. Garcia-Fernandez, A.L. Ligozat, Marco Dinarelli, D. Bernhard
Méthodes pour l'archéologie linguistique : datation par combinaison d'indices temporels
Workshop DEfi Fouille de Text (DEFT) associé à la conférence francophone TALN, Montpellier, France, 2011.

12)  S. Hahn, Marco Dinarelli, C. Raymond, F. Lefèvre, P. Lehnen, R. De Mori, A. Moschitti, H. Ney, G. Riccardi
Comparing Stochastic Approaches to Spoken Language Understanding in Multiple Languages
IEEE Journal of Transactions on Audio, Speech and Language Processing (TASLP), volume 19, issue 6, pages 1569 - 1583, 2010.

11)  Marco Dinarelli, A. Moschitti, G. Riccardi
Hypotheses Selection For Re-ranking Semantic Annotations
IEEE Workshop on Spoken Language Technology (SLT), Berkeley, U.S.A., 2010.

10)  Marco Dinarelli
Spoken Language Understanding: from Spoken Utterances to Semantic Structures
Ph.D. Dissertation, University of Trento
Department of Computer Science and Information Engineering (DISI), Italy, 2010.

9)  Marco Dinarelli, E. Stepanov, S. Varges, G. Riccardi
The LUNA Spoken Dialog System: Beyond Utterance Classification
In Proceedings of International Conference of Acoustics, Speech and Signal Processing (ICASSP), Dallas, USA, 2010.

8)  S. Quarteroni, Marco Dinarelli, G. Riccardi
Ontology-Based Grounding Of Spoken Language Understanding
IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Merano, Italy, 2009.

7)  Marco Dinarelli, A. Moschitti, G. Riccardi
Reranking Models Based On Small Training Data For Spoken Language Understanding
In Proceedings of Empirical Methods for Natural Language Processing (EMNLP), Singapore, 2009.

6)  S. Quarteroni, G. Riccardi, Marco Dinarelli
What's In An Ontology For Spoken Language Understanding
In Proceedings of Interspeech, Brighton, U.K., 2009.

5)  Marco Dinarelli, A. Moschitti, G. Riccardi
Concept Segmentation And Labeling For Conversational Speech
In Proceedings of Interspeech, Brighton, U.K., 2009.

4)  Marco Dinarelli, S. Quarteroni, S. Tonelli, A. Moschitti, G. Riccardi
Annotating Spoken Dialogs: from Speech Segments to Dialog Acts and Frame Semantics
EACL Workshop on Semantic Representation of Spoken Language, Athens, Greece, 2009.

3)  Marco Dinarelli, A. Moschitti, G. Riccardi
Reranking Models for Spoken Language Understanding
In Proceedings of the European chapter of the Association for Computational Linguistics (EACL), Athens, Greece, 2009.

2)  A. Bisazza, Marco Dinarelli, S. Quarteroni, S. Tonelli, A. Moschitti, G. Riccardi
Semantic Annotation for Conversational Speech
IEEE Workshop on Spoken Language Technology (SLT), Goa, India, 2008.

1)  Marco Dinarelli, A. Moschitti, G. Riccardi
Joint Generative and Discriminative Models for Spoken Language Understanding
IEEE Workshop on Spoken Language Technology (SLT), Goa, India, 2008.