Xavier
Carreras
Tenured Scientist
Learning Systems
Research areas:
- Machine Learning
- Natural Language Processing
Impact areas:
SDGs:
2021
Ariadna Quattoni,
& Xavier Carreras
(2021).
Minimizing Annotation Effort via Max-Volume Spectral Sampling.
Findings of the Association for Computational Linguistics: EMNLP 2021
(pp. To appear).
Association for Computational Linguistics.
[BibTeX]
[PDF]
2020
Ariadna Quattoni,
& Xavier Carreras
(2020).
A comparison between CNNs and WFAs for Sequence Classification.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing
(pp. 159--163).
Association for Computational Linguistics.
https://doi.org/10.18653/v1/2020.sustainlp-1.21.
[BibTeX]
[PDF]
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