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Laura Pérez-Mayos
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2020 – today
- 2022
- [b1]Laura Pérez-Mayos:
In-depth exploration of the syntactic capabilities of autoencoding language models for downstream applications. Pompeu Fabra University, Spain, 2022 - 2021
- [c4]Laura Pérez-Mayos, Alba Táboas García, Simon Mille, Leo Wanner:
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models. ACL/IJCNLP (Findings) 2021: 3799-3812 - [c3]Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner:
On the evolution of syntactic information encoded by BERT's contextualized representations. EACL 2021: 2243-2258 - [c2]Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner:
How much pretraining data do language models need to learn syntax? EMNLP (1) 2021: 1571-1582 - [i3]Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner:
On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations. CoRR abs/2101.11492 (2021) - [i2]Laura Pérez-Mayos, Alba Táboas García, Simon Mille, Leo Wanner:
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models. CoRR abs/2105.04688 (2021) - [i1]Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner:
How much pretraining data do language models need to learn syntax? CoRR abs/2109.03160 (2021) - 2020
- [j1]Laura Pérez-Mayos, Mireia Farrús, Jordi Adell:
Part-of-Speech and Prosody-based Approaches for Robot Speech and Gesture Synchronization. J. Intell. Robotic Syst. 99(2): 277-287 (2020)
2010 – 2019
- 2018
- [c1]Laura Pérez-Mayos, Federico M. Sukno, Leo Wanner:
Improving the Quality of Video-to-Language Models by Optimizing Annotation of the Training Material. MMM (1) 2018: 279-290
Coauthor Index
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