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CV HAL of Marco Dinarelli


I'm a CNRS researcher (CRCN) since 2013, I work at LIG (Laboratoire d'Informatique de Grenoble), in the Getalp group, since 2019.

I have been permanent researcher at Lattice between 2013 and 2018, and invited researcher at LIG from october 2017 to december 2018.

My main research areas are:

  • Deep learning (of course)
  • End-to-end Spoken Language Understanding (SLU)
  • Coreference Resolution
  • Neural Machine Translation
  • Language sequence prediction

For more information, please visit my website.

 


Journal articles3 documents

  • Marco Dinarelli, Yoann Dupont. Modélisation de dépendances entre étiquettes dans les réseaux neuronaux récurrents. Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2017, 58 (1). ⟨hal-01579114⟩
  • Marco Dinarelli, Alessandro Moschitti, Giuseppe Riccardi. Discriminative Reranking for Spoken Language Understanding. IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2012. ⟨hal-01478984⟩
  • Stefan Hahn, Marco Dinarelli, Christian Raymond, Fabrice Lefèvre, Patrick Lehnen, et al.. Comparing stochastic approaches to spoken language understanding in multiple languages. IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2011, 19 (6), pp.1569-1583. ⟨hal-00746965⟩

Conference papers29 documents

  • Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, et al.. LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. ⟨hal-03317730⟩
  • Elisa Gugliotta, Marco Dinarelli. TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus. Proceedings of the 12th Language Resources and Evaluation Conference, 2020, Jun 2020, Marseille, France. ⟨hal-03095971⟩
  • Elisa Gugliotta, Marco Dinarelli, Olivier Kraif. Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation. The Fifth Arabic Natural Language Processing Workshop (WANLP), Dec 2020, Barcellone, Spain. pp.178-191. ⟨hal-03096031⟩
  • Marco Dinarelli, Nikita Kapoor, Bassam Jabaian, Laurent Besacier. A Data-Efficient End-to-End Spoken Language Understanding Architecture. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020, Barcellone, Spain. ⟨hal-03094850⟩
  • Elisa Gugliotta, Marco Dinarelli, Olivier Kraif. Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation. he Fifth Arabic Natural Language Processing Workshop (WANLP), Dec 2020, Barcelone, Spain. ⟨hal-03286032⟩
  • Elisa Gugliotta, Marco Dinarelli. TArC Un corpus d'arabish tunisien. Traitement Automatique des Langues Naturelles (TALN), Jun 2020, Nancy, France. ⟨hal-03096013⟩
  • Marco Dinarelli, Loïc Grobol. Modèles neuronaux hybrides pour la modélisation de séquences : le meilleur de trois mondes. TALN-RECITAL 2019 - 26ème Conférence sur le Traitement Automatique des Langues Naturelles, ATALA, Jul 2019, Toulouse, France. ⟨hal-02157160v2⟩
  • Marco Dinarelli, Loïc Grobol. Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling. CICLing 2019 - 20th International Conference on Computational Linguistics and Intelligent Text Processing, Apr 2019, La Rochelle, France. ⟨hal-02085093⟩
  • Loïc Grobol, Isabelle Tellier, Éric Villemonte de la Clergerie, Marco Dinarelli, Frédéric Landragin. ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations. LREC 2018 - 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan. ⟨hal-01744572⟩
  • Marco Dinarelli, Loïc Grobol. Modélisation d'un contexte global d'étiquettes pour l'étiquetage de séquences dans les réseaux neuronaux récurrents. Journée commune AFIA-ATALA sur le Traitement Automatique des Langues et l’Intelligence Artificielle pendant la onzième édition de la plate-forme Intelligence Artificielle (PFIA 2018), Jul 2018, Nancy, France. ⟨hal-02002111⟩
  • Marco Dinarelli, Vedran Vukotić, Christian Raymond. Label-dependency coding in Simple Recurrent Networks for Spoken Language Understanding. Interspeech, Aug 2017, Stockholm, Sweden. ⟨hal-01553830⟩
  • Yoann Dupont, Marco Dinarelli, Isabelle Tellier. Label-Dependencies Aware Recurrent Neural Networks. Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary. ⟨hal-01579071⟩
  • Yoann Dupont, Marco Dinarelli, Isabelle Tellier, Christian Lautier. Structured Named Entity Recognition by Cascading CRFs. Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary. ⟨hal-01579109⟩
  • Yoann Dupont, Marco Dinarelli, Isabelle Tellier. Réseaux neuronaux profonds pour l'étiquetage de séquences. Traitement Automatique des Langues Naturelles (TALN), Jun 2017, Orléans, France. ⟨hal-01579192⟩
  • Loïc Grobol, Isabelle Tellier, Éric Villemonte de la Clergerie, Marco Dinarelli, Frédéric Landragin. Apports des analyses syntaxiques pour la détection automatique de mentions dans un corpus de français oral. TALN 2017, Association pour le Traitement Automatique des Langues (ATALA), Jun 2017, Orléans, France. ⟨hal-01558711⟩
  • Marco Dinarelli, Isabelle Tellier. New Recurrent Neural Network Variants for Sequence Labeling. 17th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey. ⟨hal-01489955⟩
  • Marco Dinarelli, Isabelle Tellier. Étude de réseaux de neurones récurrents pour l'étiquetage de séquences. Traitement Automatique des Langues Naturelles (TALN), Jul 2016, Paris, France. ⟨hal-01489982⟩
  • Tian Tian, Marco Dinarelli, Isabelle Tellier, Pedro Dias Cardoso. Domain Adaptation for Named Entity Recognition Using CRFs. LREC 2016, May 2016, Portoroz, Slovenia. ⟨hal-01473397⟩
  • Tian Tian, Isabelle Tellier, Marco Dinarelli, Pedro Cardoso. Understanding Social Media Texts with Minimum Human Effort on #Twitter. Language and the new (instant) media (PLIN), May 2016, Louvain-la-Neuve, Belgium. ⟨hal-01490018⟩
  • Adèle Désoyer, Frédéric Landragin, Isabelle Tellier, Anaïs Lefeuvre, Jean-Yves Antoine, et al.. Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR. 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'2016), Apr 2016, Konya, Turkey. ⟨hal-01344977⟩
  • Tian Tian, Marco Dinarelli, Isabelle Tellier, Pedro Cardoso. Étiquetage morpho-syntaxique de tweets avec des CRF. TALN 2015, Jun 2015, Caen, France. ⟨hal-01473383⟩
  • Tian Tian, Marco Dinarelli, Isabelle Tellier. Lattice: Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF. ACL 2015 workshop WNUT, Jul 2015, Beijing, China. ⟨hal-01473392⟩
  • Anne Garcia-Fernandez, Olivier Ferret, Marco Dinarelli. Evaluation of Different Strategies for Domain Adaptation in Opinion Mining. Language Resources Evaluation Conference (LREC), May 2014, Reykjavik, Iceland. ⟨hal-01489996⟩
  • Alexandre Allauzen, Nicolas Pécheux, Quoc Khanh Do, Marco Dinarelli, Thomas Lavergne, et al.. LIMSI @ WMT'13. Workshop on Statistical Machine Translation 2013 (WMT 13), Aug 2013, Sofia, Bulgaria. pp.62 - 69. ⟨hal-01489998⟩
  • Pierre Zweigenbaum, Guillaume Wisniewski, Marco Dinarelli, Cyril Grouin, Sophie Rosset. Résolution des coréférences dans des comptes rendus cliniques. Une expérimentation issue du défi i2b2/VA 2011. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3. ⟨hal-00656514⟩
  • Marco Dinarelli, Sophie Rosset. Tree Representations in Probabilistic Models for Extended Named Entities Detection. European Chapter of the Association for Computational Linguistics, Apr 2012, Avignon, France. ⟨hal-01490007⟩
  • Marco Dinarelli, Sophie Rosset. Tree-Structured Named Entity Recognition on OCR Data: Analysis, Processing and Results. Language Resources Evaluation Conference (LREC), May 2012, Istanbul, Turkey. ⟨hal-01490004⟩
  • Anne Garcia-Fernandez, Anne-Laure Ligozat, Marco Dinarelli, Delphine Bernhard. Méthodes pour l'archéologie linguistique : datation par combinaison d'indices temporels. DÉfi Fouille de Textes, Jul 2011, Montpellier, France. ⟨hal-00794238⟩
  • Anne Garcia-Fernandez, Anne-Laure Ligozat, Marco Dinarelli, Delphine Bernhard. When was it written? Automatically Determining Publication Dates. String Processing and Information Retrieval, Oct 2011, Pisa, Italy. pp. 221-236, ⟨10.1007/978-3-642-24583-1_22⟩. ⟨hal-00794240⟩

Poster communications1 document

  • Yoann Dupont, Isabelle Tellier, Christian Lautier, Marco Dinarelli. Extraction automatique d'affixes pour la reconnaissance d'entités nommées chimiques. EGC, Jan 2016, Reims, France. ⟨hal-01476792⟩

Book sections2 documents

  • Adèle Désoyer, Frédéric Landragin, Isabelle Tellier, Anaïs Lefeuvre-Halftermeyer, Jean-Yves Antoine, et al.. Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR. Computational Linguistics and Intelligent Text Processing., n° 9623-9624, Springer, 2018, Lecture Notes in Computer Science. ⟨hal-01889593⟩
  • Anne Garcia-Fernandez, Anne-Laure Ligozat, Marco Dinarelli, Delphine Bernhard. Méthodes pour l’archéologie linguistique : datation par combinaison d’indices temporels. Cyril Grouin; Dominic Forest. Expérimentations et évaluations en fouille de textes : Un panorama des campagnes DEFT, Hermes Lavoisier, pp.231-246, 2012, Systèmes d'information et organisations documentaires, 978-2746238367. ⟨hal-01326058⟩

Other publications2 documents

  • Marco Dinarelli, Loïc Grobol. Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds. 2019. ⟨hal-02416404⟩
  • Marco Dinarelli, Isabelle Tellier. Improving Recurrent Neural Networks For Sequence Labelling. 2016. ⟨hal-01489976⟩

Preprints, Working Papers, ...2 documents

  • Solène Evain, Manh Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, et al.. Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. 2021. ⟨hal-03407172⟩
  • Marco Dinarelli, Yoann Dupont, Isabelle Tellier. Effective Spoken Language Labeling with Deep Recurrent Neural Networks. 2017. ⟨hal-01579227⟩