DeepSPIN: Deep Structured Prediction for Natural Language Processing
André F. T. Martins, Ben Peters, Chrysoula Zerva, Chunchuan Lyu, Gonçalo Correia, Marcos Treviso, Pedro Martins, Tsvetomila Mihaylova
Abstract
DeepSPIN is a research project funded by the European Research Council (ERC) whose goal is to develop new neural structured prediction methods, models, and algorithms for improving the quality, interpretability, and data-efficiency of natural language processing (NLP) systems, with special emphasis on machine translation and quality estimation. We describe in this paper the latest findings from this project.- Anthology ID:
- 2022.eamt-1.53
- Volume:
- Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
- Month:
- June
- Year:
- 2022
- Address:
- Ghent, Belgium
- Editors:
- Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 327–328
- Language:
- URL:
- https://aclanthology.org/2022.eamt-1.53
- DOI:
- Bibkey:
- Cite (ACL):
- André F. T. Martins, Ben Peters, Chrysoula Zerva, Chunchuan Lyu, Gonçalo Correia, Marcos Treviso, Pedro Martins, and Tsvetomila Mihaylova. 2022. DeepSPIN: Deep Structured Prediction for Natural Language Processing. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 327–328, Ghent, Belgium. European Association for Machine Translation.
- Cite (Informal):
- DeepSPIN: Deep Structured Prediction for Natural Language Processing (Martins et al., EAMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.eamt-1.53.pdf
Export citation
@inproceedings{martins-etal-2022-deepspin,
title = "{D}eep{SPIN}: Deep Structured Prediction for Natural Language Processing",
author = "Martins, Andr{\'e} F. T. and
Peters, Ben and
Zerva, Chrysoula and
Lyu, Chunchuan and
Correia, Gon{\c{c}}alo and
Treviso, Marcos and
Martins, Pedro and
Mihaylova, Tsvetomila",
editor = {Moniz, Helena and
Macken, Lieve and
Rufener, Andrew and
Barrault, Lo{\"\i}c and
Costa-juss{\`a}, Marta R. and
Declercq, Christophe and
Koponen, Maarit and
Kemp, Ellie and
Pilos, Spyridon and
Forcada, Mikel L. and
Scarton, Carolina and
Van den Bogaert, Joachim and
Daems, Joke and
Tezcan, Arda and
Vanroy, Bram and
Fonteyne, Margot},
booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2022",
address = "Ghent, Belgium",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2022.eamt-1.53",
pages = "327--328",
abstract = "DeepSPIN is a research project funded by the European Research Council (ERC) whose goal is to develop new neural structured prediction methods, models, and algorithms for improving the quality, interpretability, and data-efficiency of natural language processing (NLP) systems, with special emphasis on machine translation and quality estimation. We describe in this paper the latest findings from this project.",
}
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%0 Conference Proceedings %T DeepSPIN: Deep Structured Prediction for Natural Language Processing %A Martins, André F. T. %A Peters, Ben %A Zerva, Chrysoula %A Lyu, Chunchuan %A Correia, Gonçalo %A Treviso, Marcos %A Martins, Pedro %A Mihaylova, Tsvetomila %Y Moniz, Helena %Y Macken, Lieve %Y Rufener, Andrew %Y Barrault, Loïc %Y Costa-jussà, Marta R. %Y Declercq, Christophe %Y Koponen, Maarit %Y Kemp, Ellie %Y Pilos, Spyridon %Y Forcada, Mikel L. %Y Scarton, Carolina %Y Van den Bogaert, Joachim %Y Daems, Joke %Y Tezcan, Arda %Y Vanroy, Bram %Y Fonteyne, Margot %S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation %D 2022 %8 June %I European Association for Machine Translation %C Ghent, Belgium %F martins-etal-2022-deepspin %X DeepSPIN is a research project funded by the European Research Council (ERC) whose goal is to develop new neural structured prediction methods, models, and algorithms for improving the quality, interpretability, and data-efficiency of natural language processing (NLP) systems, with special emphasis on machine translation and quality estimation. We describe in this paper the latest findings from this project. %U https://aclanthology.org/2022.eamt-1.53 %P 327-328
Markdown (Informal)
[DeepSPIN: Deep Structured Prediction for Natural Language Processing](https://aclanthology.org/2022.eamt-1.53) (Martins et al., EAMT 2022)
- DeepSPIN: Deep Structured Prediction for Natural Language Processing (Martins et al., EAMT 2022)
ACL
- André F. T. Martins, Ben Peters, Chrysoula Zerva, Chunchuan Lyu, Gonçalo Correia, Marcos Treviso, Pedro Martins, and Tsvetomila Mihaylova. 2022. DeepSPIN: Deep Structured Prediction for Natural Language Processing. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 327–328, Ghent, Belgium. European Association for Machine Translation.