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2020 – today
- 2024
[i13]Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio F. Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo:
CroissantLLM: A Truly Bilingual French-English Language Model. CoRR abs/2402.00786 (2024)- [i12]Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, André F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa:
SaulLM-7B: A pioneering Large Language Model for Law. CoRR abs/2403.03883 (2024) - [i11]Santiago Herrera, Caio Corro, Sylvain Kahane:
Sparse Logistic Regression with High-order Features for Automatic Grammar Rule Extraction from Treebanks. CoRR abs/2403.17534 (2024) - 2023
- [c14]Caio Corro:
A dynamic programming algorithm for span-based nested named-entity recognition in O(n²). ACL (1) 2023: 10712-10724 - [c13]Caio Corro:
On the inconsistency of separable losses for structured prediction. EACL 2023: 1483-1490 - [c12]Alban Petit, Caio F. Corro, François Yvon:
Structural generalization in COGS: Supertagging is (almost) all you need. EMNLP 2023: 1089-1101 - [i10]Vlad Niculae, Caio F. Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins:
Discrete Latent Structure in Neural Networks. CoRR abs/2301.07473 (2023) - [i9]Caio Corro:
On the inconsistency of separable losses for structured prediction. CoRR abs/2301.10810 (2023) - [i8]Alban Petit, Caio Corro:
On graph-based reentrancy-free semantic parsing. CoRR abs/2302.07679 (2023) - [i7]Alban Petit, Caio F. Corro, François Yvon:
Structural generalization in COGS: Supertagging is (almost) all you need. CoRR abs/2310.14124 (2023) - 2022
- [c11]Lucas Ondel, Léa-Marie Lam-Yee-Mui, Martin Kocour, Caio Filippo Corro, Lukás Burget:
GPU-Accelerated Forward-Backward Algorithm with Application to Lattice-Free MMI. ICASSP 2022: 8417-8421 - [c10]Nicolas Devatine, Caio F. Corro, François Yvon:
Ré-ordonnancement via programmation dynamique pour l'adaptation cross-lingue d'un analyseur en dépendances (Sentence reordering via dynamic programming for cross-lingual dependency parsing ). TALN-RECITAL 2022: 183-197 - [c9]Alban Petit, Caio Corro:
Un algorithme d'analyse sémantique fondée sur les graphes via le problème de l'arborescence généralisée couvrante (A graph-based semantic parsing algorithm via the generalized spanning arborescence problem). TALN-RECITAL 2022: 226-235 - [i6]Caio Corro:
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2). CoRR abs/2210.04738 (2022) - 2021
- [c8]Alban Petit, Caio Corro:
Auto-encodeurs variationnels : contrecarrer le problème de posterior collapse grâce à la régularisation du décodeur (Variational auto-encoders : prevent posterior collapse via decoder regularization). TALN (1) 2021: 2-10 - [i5]Alban Petit, Caio Corro:
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization. CoRR abs/2110.14945 (2021) - [i4]Lucas Ondel, Léa-Marie Lam-Yee-Mui, Martin Kocour, Caio Filippo Corro, Lukás Burget:
GPU-Accelerated Forward-Backward algorithm with Application to Lattice-Free MMI. CoRR abs/2112.00709 (2021) - 2020
- [c7]Caio Corro:
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n\^6) down to O(n\^3). EMNLP (1) 2020: 2753-2764 - [c6]Caio Corro:
Sur l'impact des contraintes structurelles pour l'analyse en dépendances profondes fondée sur les graphes (On the impact of structural constraints for graph-based deep dependency parsing). JEP-TALN-RECITAL (2) 2020: 197-204 - [i3]Caio Corro:
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3). CoRR abs/2003.13785 (2020)
2010 – 2019
- 2019
- [c5]Caio Corro, Ivan Titov:
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming. ACL (1) 2019: 5508-5521 - [c4]Caio Corro, Ivan Titov:
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder. ICLR (Poster) 2019 - [i2]Caio Corro, Ivan Titov:
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming. CoRR abs/1906.09992 (2019) - 2018
- [b1]Caio Corro:
Lagrangian Based Approaches for Lexicalized Tree Adjoining Grammar Parsing. (Approches fondées sur la relaxation Lagrangienne pour l'analyse syntaxique avec grammaires d'arbres adjoints). Sorbonne Paris Cité, France, 2018 - [i1]Caio Corro, Ivan Titov:
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder. CoRR abs/1807.09875 (2018) - 2017
- [c3]Caio Corro, Joseph Le Roux, Mathieu Lacroix
:
Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence. EMNLP 2017: 1644-1654 - [c2]Caio Corro, Joseph Le Roux:
Transforming Dependency Structures to LTAG Derivation Trees. TAG 2017: 112-121 - 2016
- [c1]Caio Corro, Joseph Le Roux, Mathieu Lacroix, Antoine Rozenknop, Roberto Wolfler Calvo:
Dependency Parsing with Bounded Block Degree and Well-nestedness via Lagrangian Relaxation and Branch-and-Bound. ACL (1) 2016
Coauthor Index
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