Marcos V. Treviso

Orcid: 0000-0002-3286-0609

Affiliations:
  • University of Sao Paulo (USP), Institute of Mathematics and Computer Sciences, Brazil


According to our database1, Marcos V. Treviso authored at least 24 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

CREST: A Joint Framework for Rationalization and Counterfactual Text Generation.
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.
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.
J. Mach. Learn. Res., 2022

Efficient Methods for Natural Language Processing: A Survey.
CoRR, 2022

Learning to Scaffold: Optimizing Model Explanations for Teaching.
CoRR, 2022

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

Learning to Scaffold: Optimizing Model Explanations for Teaching.
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.
Proceedings of the Human-Computer Interaction. Theoretical Approaches and Design Methods, 2022

DeepSPIN: Deep Structured Prediction for Natural Language Processing.
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

Predicting Attention Sparsity in Transformers.
Proceedings of the Sixth Workshop on Structured Prediction for NLP, 2022

2021
IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task.
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

2020
Towards Prediction Explainability through Sparse Communication.
CoRR, 2020

Sparse and Continuous Attention Mechanisms.
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.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

The Explanation Game: Towards Prediction Explainability through Sparse Communication.
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.
Proceedings of the Fourth Conference on Machine Translation, 2019

OpenKiwi: An Open Source Framework for Quality Estimation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Sentence Segmentation and Disfluency Detection in Narrative Transcripts from Neuropsychological Tests.
Proceedings of the Computational Processing of the Portuguese Language, 2018

2017
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts.
Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology, 2017

Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks.
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.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

PELESent: Cross-Domain Polarity Classification Using Distant Supervision.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Sentence Segmentation in Narrative Transcripts from Neuropsycological Tests using Recurrent Convolutional Neural Networks.
CoRR, 2016


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