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

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

^*Corresponding author for this work

Instituto de Telecomunicações

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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.

Original language	English
Title of host publication	EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Editors	Lieve Macken, Andrew Rufener, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne, Loic Barrault, Marta R. Costa-Jussa, Ellie Kemp, Spyridon Pilos, Christophe Declercq, Christophe Declercq, Maarit Koponen, Mikel L. Forcada, Carolina Scarton, Helena Moniz
Publisher	European Association for Machine Translation
Pages	327-328
Number of pages	2
ISBN (Electronic)	9789464597622
Publication status	Published - 2022
Externally published	Yes
Event	23rd Annual Conference of the European Association for Machine Translation, EAMT 2022 - Ghent, Belgium Duration: 1 Jun 2022 → 3 Jun 2022

Publication series

Name	EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation

Conference

Conference	23rd Annual Conference of the European Association for Machine Translation, EAMT 2022
Country/Territory	Belgium
City	Ghent
Period	1/06/22 → 3/06/22

Cite this

Martins, A. F. T., Peters, B., Zerva, C., Lyu, C., Correia, G., Treviso, M., Martins, P., & Mihaylova, T. (2022). DeepSPIN: Deep Structured Prediction for Natural Language Processing. In L. Macken, A. Rufener, J. Van den Bogaert, J. Daems, A. Tezcan, B. Vanroy, M. Fonteyne, L. Barrault, M. R. Costa-Jussa, E. Kemp, S. Pilos, C. Declercq, C. Declercq, M. Koponen, M. L. Forcada, C. Scarton, & H. Moniz (Eds.), EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation (pp. 327-328). (EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation). European Association for Machine Translation.

Martins, André F.T. ; Peters, Ben ; Zerva, Chrysoula et al. / DeepSPIN : Deep Structured Prediction for Natural Language Processing. EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. editor / Lieve Macken ; Andrew Rufener ; Joachim Van den Bogaert ; Joke Daems ; Arda Tezcan ; Bram Vanroy ; Margot Fonteyne ; Loic Barrault ; Marta R. Costa-Jussa ; Ellie Kemp ; Spyridon Pilos ; Christophe Declercq ; Christophe Declercq ; Maarit Koponen ; Mikel L. Forcada ; Carolina Scarton ; Helena Moniz. European Association for Machine Translation, 2022. pp. 327-328 (EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation).

@inproceedings{594a716d3517479fbd27418489980901,

title = "DeepSPIN: Deep Structured Prediction for Natural Language Processing",

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.",

author = "Martins, {Andr{\'e} F.T.} and Ben Peters and Chrysoula Zerva and Chunchuan Lyu and Gon{\c c}alo Correia and Marcos Treviso and Pedro Martins and Tsvetomila Mihaylova",

note = "Publisher Copyright: {\textcopyright} 2022 The authors.; 23rd Annual Conference of the European Association for Machine Translation, EAMT 2022 ; Conference date: 01-06-2022 Through 03-06-2022",

year = "2022",

language = "English",

series = "EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",

publisher = "European Association for Machine Translation",

pages = "327--328",

editor = "Lieve Macken and Andrew Rufener and {Van den Bogaert}, Joachim and Joke Daems and Arda Tezcan and Bram Vanroy and Margot Fonteyne and Loic Barrault and Costa-Jussa, {Marta R.} and Ellie Kemp and Spyridon Pilos and Christophe Declercq and Christophe Declercq and Maarit Koponen and Forcada, {Mikel L.} and Carolina Scarton and Helena Moniz",

booktitle = "EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",

}

Martins, AFT, Peters, B, Zerva, C, Lyu, C, Correia, G, Treviso, M, Martins, P & Mihaylova, T 2022, DeepSPIN: Deep Structured Prediction for Natural Language Processing. in L Macken, A Rufener, J Van den Bogaert, J Daems, A Tezcan, B Vanroy, M Fonteyne, L Barrault, MR Costa-Jussa, E Kemp, S Pilos, C Declercq, C Declercq, M Koponen, ML Forcada, C Scarton & H Moniz (eds), EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, European Association for Machine Translation, pp. 327-328, 23rd Annual Conference of the European Association for Machine Translation, EAMT 2022, Ghent, Belgium, 1/06/22.

DeepSPIN: Deep Structured Prediction for Natural Language Processing. / Martins, André F.T.; Peters, Ben; Zerva, Chrysoula et al.
EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. ed. / Lieve Macken; Andrew Rufener; Joachim Van den Bogaert; Joke Daems; Arda Tezcan; Bram Vanroy; Margot Fonteyne; Loic Barrault; Marta R. Costa-Jussa; Ellie Kemp; Spyridon Pilos; Christophe Declercq; Christophe Declercq; Maarit Koponen; Mikel L. Forcada; Carolina Scarton; Helena Moniz. European Association for Machine Translation, 2022. p. 327-328 (EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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T1 - DeepSPIN

T2 - 23rd Annual Conference of the European Association for Machine Translation, EAMT 2022

AU - Martins, André F.T.

AU - Peters, Ben

AU - Zerva, Chrysoula

AU - Lyu, Chunchuan

AU - Correia, Gonçalo

AU - Treviso, Marcos

AU - Martins, Pedro

AU - Mihaylova, Tsvetomila

PY - 2022

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AB - 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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SP - 327

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BT - EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation

A2 - Macken, Lieve

A2 - Rufener, Andrew

A2 - Van den Bogaert, Joachim

A2 - Daems, Joke

A2 - Tezcan, Arda

A2 - Vanroy, Bram

A2 - Fonteyne, Margot

A2 - Barrault, Loic

A2 - Costa-Jussa, Marta R.

A2 - Kemp, Ellie

A2 - Pilos, Spyridon

A2 - Declercq, Christophe

A2 - Koponen, Maarit

A2 - Forcada, Mikel L.

A2 - Scarton, Carolina

A2 - Moniz, Helena

PB - European Association for Machine Translation

Y2 - 1 June 2022 through 3 June 2022

ER -

Martins AFT, Peters B, Zerva C, Lyu C, Correia G, Treviso M et al. DeepSPIN: Deep Structured Prediction for Natural Language Processing. In Macken L, Rufener A, Van den Bogaert J, Daems J, Tezcan A, Vanroy B, Fonteyne M, Barrault L, Costa-Jussa MR, Kemp E, Pilos S, Declercq C, Declercq C, Koponen M, Forcada ML, Scarton C, Moniz H, editors, EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. European Association for Machine Translation. 2022. p. 327-328. (EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation).

DeepSPIN: Deep Structured Prediction for Natural Language Processing

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