| Comparing stochastic approaches to spoken language understanding in multiple languages S Hahn, M Dinarelli, C Raymond, F Lefevre, P Lehnen, R De Mori, ... Audio, Speech, and Language Processing, IEEE Transactions on, 1-1, 2010 | 143 | 2010 |
| Lebenchmark: A reproducible framework for assessing self-supervised representation learning from speech S Evain, H Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ... arXiv preprint arXiv:2104.11462, 2021 | 88 | 2021 |
| Annotating spoken dialogs: from speech segments to dialog acts and frame semantics M Dinarelli, S Quarteroni, S Tonelli, A Moschitti, G Riccardi Proceedings of SRSL 2009, the 2nd Workshop on Semantic Representation of …, 2009 | 70 | 2009 |
| Limsi@ wmt13 A Allauzen, N Pécheux, QK Do, M Dinarelli, T Lavergne, A Max, HS Le, ... Proceedings of the Eighth Workshop on Statistical Machine Translation, 62-69, 2013 | 46 | 2013 |
| Models Cascade for Tree-Structured Named Entity Detection M Dinarelli, S Rosset International Joint Conference of Natural Language Processing (IJCNLP), 2011 | 45 | 2011 |
| Task agnostic and task specific self-supervised learning from speech with lebenchmark S Evain, MH Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ... Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 39 | 2021 |
| When was it written? Automatically determining publication dates A Garcia-Fernandez, AL Ligozat, M Dinarelli, D Bernhard International symposium on string processing and information retrieval, 221-236, 2011 | 37 | 2011 |
| Discriminative reranking for spoken language understanding M Dinarelli, A Moschitti, G Riccardi IEEE transactions on audio, speech, and language processing 20 (2), 526-539, 2011 | 36 | 2011 |
| Label-dependencies aware recurrent neural networks Y Dupont, M Dinarelli, I Tellier Computational Linguistics and Intelligent Text Processing: 18th …, 2018 | 24 | 2018 |
| Tree-structured named entity recognition on OCR data: Analysis, processing and results M Dinarelli, S Rosset Language Resources Evaluation Conference (LREC), 2012 | 24 | 2012 |
| Spoken language understanding: from spoken utterances to semantic structures M Dinarelli Università degli studi di Trento, 2010 | 24 | 2010 |
| A data efficient end-to-end spoken language understanding architecture M Dinarelli, N Kapoor, B Jabaian, L Besacier ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 23 | 2020 |
| Improving recurrent neural networks for sequence labelling M Dinarelli, I Tellier arXiv preprint arXiv:1606.02555, 2016 | 23 | 2016 |
| Re-ranking models for spoken language understanding M Dinarelli, A Moschitti, G Riccardi Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009 | 22 | 2009 |
| Lebenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of french speech T Parcollet, H Nguyen, S Evain, MZ Boito, A Pupier, S Mdhaffar, H Le, ... Computer Speech & Language 86, 101622, 2024 | 21 | 2024 |
| Divide and rule: Effective pre-training for context-aware multi-encoder translation models L Lupo, M Dinarelli, L Besacier arXiv preprint arXiv:2103.17151, 2021 | 21 | 2021 |
| Re-ranking models based-on small training data for spoken language understanding M Dinarelli, A Moschitti, G Riccardi Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 21 | 2009 |
| What's in an ontology for spoken language understanding. S Quarteroni, G Riccardi, M Dinarelli INTERSPEECH, 1023-1026, 2009 | 18 | 2009 |
| Concept segmentation and labeling for conversational speech. M Dinarelli, A Moschitti, G Riccardi Interspeech, 2747-2750, 2009 | 17 | 2009 |
| Label-dependency coding in simple recurrent networks for spoken language understanding M Dinarelli, V Vukotić, C Raymond Interspeech, 2017 | 16 | 2017 |
Giuseppe RiccardiProfessor of Computer Science, University of Trento Italyunitn.it의 이메일 확인됨