Marcos V. Treviso

According to our database, Marcos V. Treviso authored at least 28 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How Effective are State Space Models for Machine Translation?

Hugo Pitorro, Pavlo Vasylenko, Marcos V. Treviso, André F. T. Martins

CoRR, 2024

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors.

Marcos V. Treviso, Nuno Miguel Guerreiro, Sweta Agrawal, Ricardo Rei, José Pombal, Tânia Vaz, Helena Wu, Beatriz Silva, Daan van Stigt, André F. T. Martins

CoRR, 2024

How Effective Are State Space Models for Machine Translation?

Hugo Pitorro, Pavlo Vasylenko, Marcos V. Treviso, André Martins

Proceedings of the Ninth Conference on Machine Translation, 2024

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors.

Marcos V. Treviso, Nuno Miguel Guerreiro, Sweta Agrawal, Ricardo Rei, José Pombal, Tânia Vaz, Helena Wu, Beatriz Silva, Daan van Stigt, André Martins

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Efficient Methods for Natural Language Processing: A Survey.

Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz

Trans. Assoc. Comput. Linguistics, 2023

Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task.

Ricardo Rei, Nuno Miguel Guerreiro, José Pombal, Daan van Stigt, Marcos V. Treviso, Luísa Coheur, José G. C. de Souza, André F. T. Martins

Proceedings of the Eighth Conference on Machine Translation, 2023

CREST: A Joint Framework for Rationalization and Counterfactual Text Generation.

Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics.

Ricardo Rei, Nuno Miguel Guerreiro, Marcos V. Treviso, Luísa Coheur, Alon Lavie, André F. T. Martins

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Sparse Continuous Distributions and Fenchel-Young Losses.

André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae

J. Mach. Learn. Res., 2022

Efficient Methods for Natural Language Processing: A Survey.

Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz

CoRR, 2022

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task.

Ricardo Rei, Marcos V. Treviso, Nuno Miguel Guerreiro, Chrysoula Zerva, Ana C. Farinha, Christine Maroti, José G. C. de Souza, Taisiya Glushkova, Duarte M. Alves, Luísa Coheur, Alon Lavie, André F. T. Martins

Proceedings of the Seventh Conference on Machine Translation, 2022

Learning to Scaffold: Optimizing Model Explanations for Teaching.

Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Framework to Semi-automated Usability Evaluations Processing Considering Users' Emotional Aspects.

Flávia de Souza Santos, Marcos Vinícius Treviso, Sandra Pereira Gama, Renata Pontin de Mattos Fortes

Proceedings of the Human-Computer Interaction. Theoretical Approaches and Design Methods, 2022

DeepSPIN: Deep Structured Prediction for Natural Language Processing.

André F. T. Martins, Ben Peters, Chrysoula Zerva, Chunchuan Lyu, Gonçalo M. Correia, Marcos V. Treviso, Pedro Henrique Martins, Tsvetomila Mihaylova

Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

Predicting Attention Sparsity in Transformers.

Marcos V. Treviso, António Góis, Patrick Fernandes, Erick Rocha Fonseca, André F. T. Martins

Proceedings of the Sixth Workshop on Structured Prediction for NLP, 2022

2021

IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task.

Marcos V. Treviso, Nuno Miguel Guerreiro, Ricardo Rei, André F. T. Martins

Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

2020

Towards Prediction Explainability through Sparse Communication.

Marcos V. Treviso, André F. T. Martins

CoRR, 2020

Sparse and Continuous Attention Mechanisms.

André F. T. Martins, António Farinhas, Marcos V. Treviso, Vlad Niculae, Pedro M. Q. Aguiar, Mário A. T. Figueiredo

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evaluating Sentence Segmentation in Different Datasets of Neuropsychological Language Tests in Brazilian Portuguese.

Edresson Casanova, Marcos V. Treviso, Lilian Hübner, Sandra M. Aluísio

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

The Explanation Game: Towards Prediction Explainability through Sparse Communication.

Marcos V. Treviso, André F. T. Martins

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019

Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task.

Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins

Proceedings of the Fourth Conference on Machine Translation, 2019

OpenKiwi: An Open Source Framework for Quality Estimation.

Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, André F. T. Martins

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Sentence Segmentation and Disfluency Detection in Narrative Transcripts from Neuropsychological Tests.

Marcos Vinícius Treviso, Sandra Maria Aluísio

Proceedings of the Computational Processing of the Portuguese Language, 2018

2017

Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts.

Marcos V. Treviso, Christopher Shulby, Sandra M. Aluísio

Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology, 2017

Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks.

Nathan Hartmann, Erick Rocha Fonseca, Christopher Shulby, Marcos V. Treviso, Jéssica S. Rodrigues, Sandra M. Aluísio

Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology, 2017

Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks.

Marcos Vinícius Treviso, Christopher Shulby, Sandra M. Aluísio

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

PELESent: Cross-Domain Polarity Classification Using Distant Supervision.

Edilson Anselmo Corrêa Júnior, Vanessa Queiroz Marinho, Leandro Borges dos Santos, Thales Felipe Costa Bertaglia, Marcos Vinícius Treviso, Henrico Bertini Brum

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

Sentence Segmentation in Narrative Transcripts from Neuropsycological Tests using Recurrent Convolutional Neural Networks.

Marcos Vinícius Treviso, Christopher Shulby, Sandra Maria Aluísio

CoRR, 2016