Marco Dinarelli

According to our database1, Marco Dinarelli authored at least 63 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech.
Comput. Speech Lang., 2024

An Analysis of Linear Complexity Attention Substitutes with BEST-RQ.
CoRR, 2024

Implémentation ouverte et étude de BEST-RQ pour le traitement de la parole.
Proceedings of the Actes des 35èmes Journées d'Études sur la Parole, 2024


Open Implementation and Study of Best-RQ for Speech Processing.
Proceedings of the IEEE International Conference on Acoustics, 2024

Exploring NMT Explainability for Translators Using NMT Visualising Tools.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024

The MAKE-NMTViz Project: Meaningful, Accurate and Knowledge-limited Explanations of NMT Systems for Translators.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), 2024


2023
Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation.
CoRR, 2023

The MAKE-NMTVIZ System Description for the WMT23 Literary Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi Corpus.
Proceedings of the 4th Conference on Language, Data and Knowledge, 2023

2022
Vers la compréhension automatique de la parole bout-en-bout à moindre effort.
CoRR, 2022

Focused Concatenation for Context-Aware Neural Machine Translation.
Proceedings of the Seventh Conference on Machine Translation, 2022

Vers la compréhension automatique de la parole bout-en-bout à moindre effort (Towards automatic end-to-end speech understanding with less effort).
Proceedings of the Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2022

TArC: Tunisian Arabish Corpus, First complete release.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Toward Low-Cost End-to-End Spoken Language Understanding.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech.
CoRR, 2021

Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources.
CoRR, 2021

Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

<i>LeBenchmark</i>: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation.
Proceedings of the Fifth Arabic Natural Language Processing Workshop, 2020

TArC. Un corpus d'arabish tunisien.
Proceedings of the Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 2020

TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Data Efficient End-to-End Spoken Language Understanding Architecture.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds.
CoRR, 2019

Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling.
CoRR, 2019

Modèles neuronaux hybrides pour la modélisation de séquences : le meilleur de trois mondes ().
Proceedings of the Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume I : Articles longs, 2019

2018
ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017
Effective Spoken Language Labeling with Deep Recurrent Neural Networks.
CoRR, 2017

Détection des mots non-standards dans les tweets avec des réseaux de neurones (Detecting non-standard words in tweets with neural networks).
Proceedings of the Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Orléans, France, June 26-30, 2017, Volume 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).
Proceedings of the Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Orléans, France, June 26-30, 2017, Volume 2, 2017

Réseaux neuronaux profonds pour l'étiquetage de séquences (Deep Neural Networks for Sequence Labeling).
Proceedings of the Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Orléans, France, June 26-30, 2017, Volume 2, 2017

Label-Dependency Coding in Simple Recurrent Networks for Spoken Language Understanding.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Structured Named Entity Recognition by Cascading CRFs.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

Label-Dependencies Aware Recurrent Neural Networks.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016
Improving Recurrent Neural Networks For Sequence Labelling.
CoRR, 2016

Étude des réseaux de neurones récurrents pour étiquetage de séquences (A study of Recurrent Neural Networks for Sequence Labelling).
Proceedings of the Actes de la conférence conjointe JEP-TALN-RECITAL 2016. Volume 2 : TALN (Articles longs), 2016

Domain Adaptation for Named Entity Recognition Using CRFs.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Extraction automatique d'affixes pour la reconnaissance d'entités nommées chimiques.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

New Recurrent Neural Network Variants for Sequence Labeling.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

2015
Etiquetage morpho-syntaxique de tweets avec des CRF.
Proceedings of the Actes de la 22e conference sur le Traitement Automatique des Langues Naturelles. Articles courts, 2015

Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF.
Proceedings of the Workshop on Noisy User-generated Text, 2015

2014
Evaluation of different strategies for domain adaptation in opinion mining.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013
LIMSI @ WMT13.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

2012
Discriminative Reranking for Spoken Language Understanding.
IEEE Trans. Speech Audio Process., 2012

Tree-Structured Named Entity Recognition on OCR Data: Analysis, Processing and Results.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Tree Representations in Probabilistic Models for Extended Named Entities Detection.
Proceedings of the EACL 2012, 2012

2011
Comparing Stochastic Approaches to Spoken Language Understanding in Multiple Languages.
IEEE Trans. Speech Audio Process., 2011

When Was It Written? Automatically Determining Publication Dates.
Proceedings of the String Processing and Information Retrieval, 2011

Models Cascade for Tree-Structured Named Entity Detection.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Hypotheses Selection Criteria in a Reranking Framework for Spoken Language Understanding.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010
Spoken Language Understanding: from Spoken Utterances to Semantic Structures.
PhD thesis, 2010

Hypotheses selection for re-ranking semantic annotations.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

The LUNA Spoken Dialogue System: Beyond utterance classification.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
What's in an ontology for spoken language understanding.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Concept segmentation and labeling for conversational speech.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Re-Ranking Models for Spoken Language Understanding.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

Ontology-based grounding of Spoken Language Understanding.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008
Joint generative and discriminative models for spoken language understanding.
Proceedings of the 2008 IEEE Spoken Language Technology Workshop, 2008

Semantic annotations for conversational speech: From speech transcriptions to predicate argument structures.
Proceedings of the 2008 IEEE Spoken Language Technology Workshop, 2008


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