@inproceedings{treviso-etal-2023-crest,title={{CREST}: A Joint Framework for Rationalization and Counterfactual Text Generation},author={Treviso, Marcos and Ross, Alexis and Guerreiro, Nuno M. and Martins, Andr{\'e}},booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},month=jul,year={2023},address={Toronto, Canada},publisher={Association for Computational Linguistics},pages={15109--15126},abbr={ACL},url={https://aclanthology.org/2023.acl-long.842},pdf={https://aclanthology.org/2023.acl-long.842.pdf},arxiv={2305.17075},bibtex_show={true},code={https://github.com/deep-spin/crest/},slides={https://slides.com/mtreviso/crest}}
ACL
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics
Ricardo Rei, Nuno M. Guerreiro, Marcos Treviso, Luisa Coheur, Alon Lavie, and André Martins
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Jul 2023
@inproceedings{rei-etal-2023-inside,title={The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics},author={Rei, Ricardo and Guerreiro, Nuno M. and Treviso, Marcos and Coheur, Luisa and Lavie, Alon and Martins, Andr{\'e}},booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},month=jul,year={2023},address={Toronto, Canada},publisher={Association for Computational Linguistics},pages={1089--1105},abbr={ACL},url={https://aclanthology.org/2023.acl-short.94},pdf={https://aclanthology.org/2023.acl-short.94.pdf},arxiv={2305.11806},code={https://github.com/ricardorei/COMET},bibtex_show={true}}
TACL
Efficient Methods for Natural Language Processing: A Survey
Marcos Treviso*, Ji-Ung Lee*, Tianchu Ji*, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro H. Martins, André F. T. Martins, Jessica Zosa Forde, Peter Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, and Roy Schwartz
Transactions of the Association for Computational Linguistics, Jul 2023
@article{treviso2023efficient,author={Treviso*, Marcos and Lee*, Ji-Ung and Ji*, Tianchu and Aken, Betty van and Cao, Qingqing and Ciosici, Manuel R. and Hassid, Michael and Heafield, Kenneth and Hooker, Sara and Raffel, Colin and Martins, Pedro H. and Martins, André F. T. and Forde, Jessica Zosa and Milder, Peter and Simpson, Edwin and Slonim, Noam and Dodge, Jesse and Strubell, Emma and Balasubramanian, Niranjan and Derczynski, Leon and Gurevych, Iryna and Schwartz, Roy},title={{Efficient Methods for Natural Language Processing: A Survey}},journal={Transactions of the Association for Computational Linguistics},volume={11},pages={826-860},year={2023},month=jul,issn={2307-387X},doi={10.1162/tacl_a_00577},eprint={https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl\_a\_00577/2143614/tacl\_a\_00577.pdf},abbr={TACL},url={https://doi.org/10.1162/tacl\_a\_00577},pdf={https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl\_a\_00577/2143614/tacl\_a\_00577.pdf},arxiv={2209.00099},bibtex_show={true}}
2022
WMT
★ Shared Task Winner Award
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
Ricardo Rei*, Marcos Treviso*, Nuno M. Guerreiro*, Chrysoula Zerva*, Ana C Farinha, Christine Maroti, José G. Souza, Taisiya Glushkova, Duarte Alves, Luisa Coheur, Alon Lavie, and André F. T. Martins
In Proceedings of the Seventh Conference on Machine Translation (WMT), Dec 2022
@inproceedings{rei-etal-2022-cometkiwi,title={{C}omet{K}iwi: {IST}-Unbabel 2022 Submission for the Quality Estimation Shared Task},author={Rei*, Ricardo and Treviso*, Marcos and Guerreiro*, Nuno M. and Zerva*, Chrysoula and Farinha, Ana C and Maroti, Christine and C. de Souza, Jos{\'e} G. and Glushkova, Taisiya and Alves, Duarte and Coheur, Luisa and Lavie, Alon and Martins, Andr{\'e} F. T.},booktitle={Proceedings of the Seventh Conference on Machine Translation (WMT)},month=dec,year={2022},address={Abu Dhabi, United Arab Emirates (Hybrid)},publisher={Association for Computational Linguistics},pages={634--645},abbr={WMT},url={https://aclanthology.org/2022.wmt-1.60},pdf={https://aclanthology.org/2022.wmt-1.60.pdf},arxiv={2209.06243},code={https://github.com/ricardorei/COMET},bibtex_show={true},highlight={Shared Task <br> Winner Award}}
NeurIPS
Learning to Scaffold: Optimizing Model Explanations for Teaching
Patrick Fernandes*, Marcos Treviso*, Danish Pruthi, Andre Martins, and Graham Neubig
In Thirty-Sixth Conference on Neural Information Processing Systems, Dec 2022
@inproceedings{fernandes2022learning,title={Learning to Scaffold: Optimizing Model Explanations for Teaching},author={Fernandes*, Patrick and Treviso*, Marcos and Pruthi, Danish and Martins, Andre and Neubig, Graham},booktitle={Thirty-Sixth Conference on Neural Information Processing Systems},year={2022},abbr={NeurIPS},url={https://openreview.net/forum?id=V5rlSPsHpkf},pdf={https://openreview.net/pdf?id=V5rlSPsHpkf},arxiv={2204.10810},code={https://github.com/coderpat/learning-scaffold},bibtex_show={true},slides={https://slides.com/mtreviso/learning-to-scaffold}}
SPNLP
Predicting Attention Sparsity in Transformers
Marcos Treviso, António Góis, Patrick Fernandes, Erick Fonseca, and Andre Martins
In Proceedings of the Sixth Workshop on Structured Prediction for NLP, May 2022
@inproceedings{treviso-etal-2022-predicting,title={Predicting Attention Sparsity in Transformers},author={Treviso, Marcos and G{\'o}is, Ant{\'o}nio and Fernandes, Patrick and Fonseca, Erick and Martins, Andre},booktitle={Proceedings of the Sixth Workshop on Structured Prediction for NLP},month=may,year={2022},abbr={SPNLP},address={Dublin, Ireland},publisher={Association for Computational Linguistics},url={https://aclanthology.org/2022.spnlp-1.7},doi={10.18653/v1/2022.spnlp-1.7},pages={67--81},pdf={https://arxiv.org/pdf/2109.12188},arxiv={2109.12188},code={https://github.com/deep-spin/sparsefinder/},bibtex_show={true},slides={https://slides.com/mtreviso/sparsefinder-spnlp}}
JMLR
Sparse continuous distributions and Fenchel-Young losses
André FT Martins, Marcos Treviso, António Farinhas, Pedro MQ Aguiar, Mário AT Figueiredo, Mathieu Blondel, and Vlad Niculae
@article{martins2022sparse,title={Sparse continuous distributions and Fenchel-Young losses},author={Martins, Andr{\'e} FT and Treviso, Marcos and Farinhas, Ant{\'o}nio and Aguiar, Pedro MQ and Figueiredo, M{\'a}rio AT and Blondel, Mathieu and Niculae, Vlad},journal={Journal of Machine Learning Research},volume={23},pages={1--74},year={2022},url={https://arxiv.org/abs/2108.01988},pdf={https://arxiv.org/pdf/2108.01988},arxiv={2108.01988},code={https://github.com/deep-spin/sparse_continuous_distributions/},abbr={JMLR},bibtex_show={true}}
2021
Eval4NLP
★ Best Explain. Approach Award
IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task
Marcos Treviso, Nuno Guerreiro, Ricardo Rei, and André F. T. Martins
In Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, Nov 2021
@inproceedings{treviso-et-al-2021-ist,title={IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task},author={Treviso, Marcos and Guerreiro, Nuno and Rei, Ricardo and Martins, Andr{\'e} F. T.},year={2021},month=nov,booktitle={Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems},publisher={Association for Computational Linguistics},address={Punta Cana, Dominican Republic},url={https://aclanthology.org/2021.eval4nlp-1.14},pages={133--145},conference={true},abbr={Eval4NLP},bibtex_show={true},code={https://github.com/deep-spin/explainable-qe-shared-task},highlight={Best Explain.<br>Approach Award},pdf={https://aclanthology.org/2021.eval4nlp-1.14.pdf},slides={https://slides.com/mtreviso/ist-unbabel-expl-qe-shared-task-live-talk}}
2020
BlackboxNLP
The Explanation Game: Towards Prediction Explainability through Sparse Communication
Marcos Treviso, and André F. T. Martins
In Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, Nov 2020
@inproceedings{treviso-martins-2020-explanation,title={The Explanation Game: Towards Prediction Explainability through Sparse Communication},author={Treviso, Marcos and Martins, Andr{\'e} F. T.},year={2020},month=nov,booktitle={Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP},publisher={Association for Computational Linguistics},address={Online},pages={107--118},conference={true},abbr={BlackboxNLP},doi={10.18653/v1/2020.blackboxnlp-1.10},url={https://aclanthology.org/2020.blackboxnlp-1.10},pdf={https://aclanthology.org/2020.blackboxnlp-1.10.pdf},code={https://github.com/deep-spin/spec},arxiv={2004.13876},slides={https://slides.com/mtreviso/the-explanation-game},bibtex_show={true}}
NeurIPS
★ Spotlight Presentation
Sparse and Continuous Attention Mechanisms
André Martins, António Farinhas, Marcos Treviso, Vlad Niculae, Pedro Aguiar, and Mario Figueiredo
In Advances in Neural Information Processing Systems, Nov 2020
@inproceedings{NEURIPS2020_f0b76267,title={Sparse and Continuous Attention Mechanisms},author={Martins, Andr\'{e} and Farinhas, Ant\'{o}nio and Treviso, Marcos and Niculae, Vlad and Aguiar, Pedro and Figueiredo, Mario},year={2020},booktitle={Advances in Neural Information Processing Systems},publisher={Curran Associates, Inc.},volume={33},pages={20989--21001},url={https://proceedings.neurips.cc/paper/2020/file/f0b76267fbe12b936bd65e203dc675c1-Paper.pdf},editor={Larochelle, H. and Ranzato, M. and Hadsell, R. and Balcan, M. F. and Lin, H.},abbr={NeurIPS},pdf={https://proceedings.neurips.cc/paper/2020/file/f0b76267fbe12b936bd65e203dc675c1-Paper.pdf},code={https://github.com/deep-spin/quati},arxiv={2006.07214},slides={https://slideslive.com/38937923/sparse-and-continuous-attention-mechanisms},bibtex_show={true},highlight={Spotlight <br> Presentation}}
LREC
Evaluating Sentence Segmentation in Different Datasets of Neuropsychological Language Tests in Brazilian Portuguese
Edresson Casanova, Marcos Treviso, Lilian Hübner, and Sandra Aluı́sio
In Proceedings of the 12th Language Resources and Evaluation Conference, May 2020
@inproceedings{casanova-etal-2020-evaluating,title={Evaluating Sentence Segmentation in Different Datasets of Neuropsychological Language Tests in {B}razilian {P}ortuguese},author={Casanova, Edresson and Treviso, Marcos and H{\"u}bner, Lilian and Alu{\'\i}sio, Sandra},year={2020},month=may,booktitle={Proceedings of the 12th Language Resources and Evaluation Conference},publisher={European Language Resources Association},address={Marseille, France},pages={2605--2614},isbn={979-10-95546-34-4},url={https://aclanthology.org/2020.lrec-1.317},language={English},abbr={LREC},pdf={https://aclanthology.org/2020.lrec-1.317.pdf},code={https://github.com/mtreviso/deepbond},bibtex_show={true}}
2019
ACL
★ Best Demo Paper Award
OpenKiwi: An Open Source Framework for Quality Estimation
Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, and André F. T. Martins
In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, Jul 2019
@inproceedings{kepler-etal-2019-openkiwi,title={{O}pen{K}iwi: An Open Source Framework for Quality Estimation},author={Kepler, Fabio and Tr{\'e}nous, Jonay and Treviso, Marcos and Vera, Miguel and Martins, Andr{\'e} F. T.},year={2019},month=jul,booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations},publisher={Association for Computational Linguistics},address={Florence, Italy},pages={117--122},doi={10.18653/v1/P19-3020},url={https://aclanthology.org/P19-3020},abbr={ACL},pdf={https://aclanthology.org/P19-3020.pdf},code={https://github.com/Unbabel/OpenKiwi},arxiv={1902.08646},bibtex_show={true},highlight={Best Demo <br> Paper Award}}
WMT-QE
★ Shared Task Winner Award
Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task
Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, and André F. T. Martins
In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), Aug 2019
@inproceedings{kepler-etal-2019-unbabels,title={Unbabel{'}s Participation in the {WMT}19 Translation Quality Estimation Shared Task},author={Kepler, Fabio and Tr{\'e}nous, Jonay and Treviso, Marcos and Vera, Miguel and G{\'o}is, Ant{\'o}nio and Farajian, M. Amin and Lopes, Ant{\'o}nio V. and Martins, Andr{\'e} F. T.},year={2019},month=aug,booktitle={Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)},publisher={Association for Computational Linguistics},address={Florence, Italy},pages={78--84},doi={10.18653/v1/W19-5406},url={https://aclanthology.org/W19-5406},abbr={WMT-QE},pdf={https://aclanthology.org/W19-5406.pdf},code={https://github.com/Unbabel/OpenKiwi},arxiv={1907.10352},bibtex_show={true},highlight={Shared Task <br> Winner Award}}
2018
PROPOR
★ Best MSc Thesis Award
Sentence Segmentation and Disfluency Detection in Narrative Transcripts from Neuropsychological Tests
Marcos Treviso, and Sandra Maria Aluísio
In Computational Processing of the Portuguese Language, Aug 2018
@inproceedings{10.1007/978-3-319-99722-3_41,title={Sentence Segmentation and Disfluency Detection in Narrative Transcripts from Neuropsychological Tests},author={Treviso, Marcos and Alu{\'i}sio, Sandra Maria},year={2018},booktitle={Computational Processing of the Portuguese Language},publisher={Springer International Publishing},address={Cham},pages={409--418},isbn={978-3-319-99722-3},editor={Villavicencio, Aline and Moreira, Viviane and Abad, Alberto and Caseli, Helena and Gamallo, Pablo and Ramisch, Carlos and Gon{\c{c}}alo Oliveira, Hugo and Paetzold, Gustavo Henrique},url={https://link.springer.com/chapter/10.1007/978-3-319-99722-3_41},abbr={PROPOR},pdf={https://www.researchgate.net/publication/327223308_Sentence_Segmentation_and_Disfluency_Detection_in_Narrative_Transcripts_from_Neuropsychological_Tests_13th_International_Conference_PROPOR_2018_Canela_Brazil_September_24-26_2018_Proceedings},bibtex_show={true},highlight={Best MSc <br> Thesis Award}}
Detecting mild cognitive impairment in narratives in Brazilian Portuguese: first steps towards a fully automated system
Marcos Treviso, Leandro Borges Santos, Christopher Shulby, Lilian Cristine Hübner, Letícia Lessa Mansur, and Sandra Maria Aluísio
@article{Treviso_dosSantos_Shulby_Hübner_Mansur_Aluísio_2018,title={Detecting mild cognitive impairment in narratives in Brazilian Portuguese: first steps towards a fully automated system},author={Treviso, Marcos and dos Santos, Leandro Borges and Shulby, Christopher and Hübner, Lilian Cristine and Mansur, Letícia Lessa and Aluísio, Sandra Maria},year={2018},month=jun,journal={Letras de Hoje},volume={53},number={1},pages={48--58},doi={10.15448/1984-7726.2018.1.30955},url={https://revistaseletronicas.pucrs.br/ojs/index.php/fale/article/view/30955},pdf={https://revistaseletronicas.pucrs.br/ojs/index.php/fale/article/view/30955/16915},bibtex_show={true}}
2017
EACL
Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks
Marcos Treviso, Christopher Shulby, and Sandra Aluı́sio
In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, Apr 2017
@inproceedings{treviso-etal-2017-sentence,title={Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks},author={Treviso, Marcos and Shulby, Christopher and Alu{\'\i}sio, Sandra},year={2017},month=apr,booktitle={Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers},publisher={Association for Computational Linguistics},address={Valencia, Spain},pages={315--325},abbr={EACL},url={https://aclanthology.org/E17-1030},pdf={https://aclanthology.org/E17-1030.pdf},arxiv={1610.00211},code={https://github.com/mtreviso/deepbond},bibtex_show={true}}
STIL
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts
Marcos Treviso, Christopher Shulby, and Sandra Aluı́sio
In Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology, Oct 2017
@inproceedings{treviso-etal-2017-evaluating,title={Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts},author={Treviso, Marcos and Shulby, Christopher and Alu{\'\i}sio, Sandra},year={2017},month=oct,booktitle={Proceedings of the 11th {B}razilian Symposium in Information and Human Language Technology},publisher={Sociedade Brasileira de Computa{\c{c}}{\~a}o},address={Uberl{\^a}ndia, Brazil},pages={151--160},url={https://aclanthology.org/W17-6618},abbr={STIL},pdf={https://aclanthology.org/W17-6618.pdf},arxiv={1708.04704},code={https://github.com/mtreviso/deepbond},bibtex_show={true}}
STIL
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
Nathan Hartmann, Erick Fonseca, Christopher Shulby, Marcos Treviso, Jéssica Silva, and Sandra Aluı́sio
In Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology, Oct 2017
@inproceedings{hartmann-etal-2017-portuguese,title={{P}ortuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks},author={Hartmann, Nathan and Fonseca, Erick and Shulby, Christopher and Treviso, Marcos and Silva, J{\'e}ssica and Alu{\'\i}sio, Sandra},year={2017},month=oct,booktitle={Proceedings of the 11th {B}razilian Symposium in Information and Human Language Technology},publisher={Sociedade Brasileira de Computa{\c{c}}{\~a}o},address={Uberl{\^a}ndia, Brazil},pages={122--131},url={https://aclanthology.org/W17-6615},abbr={STIL},pdf={https://aclanthology.org/W17-6615.pdf},arxiv={1708.06025},code={https://github.com/nathanshartmann/portuguese_word_embeddings},bibtex_show={true}}
BRACIS
PELESent: Cross-domain polarity classification using distant supervision
Edilson Anselmo Corrêa, Vanessa Queiroz Marinho, Leandro Borges Santos, Thales F. C. Bertaglia, Marcos Treviso, and Henrico Bertini Brum
In 2017 Brazilian Conference on Intelligent Systems (BRACIS), Oct 2017
@inproceedings{correa2017pelesent,title={PELESent: Cross-domain polarity classification using distant supervision},author={Corr{\^e}a, Edilson Anselmo and Marinho, Vanessa Queiroz and dos Santos, Leandro Borges and Bertaglia, Thales F. C. and Treviso, Marcos and Brum, Henrico Bertini},booktitle={2017 Brazilian Conference on Intelligent Systems (BRACIS)},pages={49--54},year={2017},organization={IEEE},abbr={BRACIS},url={https://ieeexplore.ieee.org/document/8247028},pdf={https://arxiv.org/pdf/1707.02657.pdf},arxiv={1707.02657},code={https://github.com/edilsonacjr/pelesent},bibtex_show={true}}
Theses
Ph.D.
Selective Sparsity for Explainability with Applications to Translation Quality Estimation
@phdthesis{treviso2023selective,title={Selective Sparsity for Explainability with Applications to Translation Quality Estimation},author={Treviso, Marcos Vinicius},year={2023},school={Instituto Superior T{\'e}cnico},abbr={Ph.D.},pdf={https://mtreviso.github.io/assets/pdf/thesis.pdf},bibtex_show={true}}
M.Sc.
Segmentação de sentenças e detecção de disfluências em narrativas transcritas de testes neuropsicológicos
@phdthesis{treviso2017segmentaccao,title={Segmenta{\c{c}}{\~a}o de senten{\c{c}}as e detec{\c{c}}{\~a}o de disflu{\^e}ncias em narrativas transcritas de testes neuropsicol{\'o}gicos},author={Treviso, Marcos Vinicius},year={2017},school={Universidade de S{\~a}o Paulo},abbr={M.Sc.},pdf={http://www.teses.usp.br/teses/disponiveis/55/55134/tde-05022018-090740/publico/MarcosViniciusTreviso_revisada.pdf},code={https://github.com/mtreviso/deepbond},bibtex_show={true}}
B.Sc.
Dois modelos de aprendizagem profunda para análise morfossintática
@phdthesis{treviso2015dois,title={Dois modelos de aprendizagem profunda para análise morfossintática},author={Treviso, Marcos Vinicius},year={2015},school={Universidade Federal do Pampa},abbr={B.Sc.},pdf={https://dspace.unipampa.edu.br/bitstream/riu/1605/1/Dois%20modelos%20de%20aprendizagem%20profunda%20para%20an%C3%A1lise%20morfossint%C3%A1tica.pdf},code={https://github.com/mtreviso/deeptagger},bibtex_show={true}}