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ORCIDAndré F. T. Martins
André Filipe Torres Martins
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- affiliation: University of Lisbon, Instituto de Telecomunicaçoes, Portugal
- affiliation (former): Carnegie Mellon University, Pittsburgh, USA
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Journal Articles
- 2023
[j13]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:
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11: 826-860 (2023)- [j12]Nuno Miguel Guerreiro, Duarte M. Alves, Jonas Waldendorf, Barry Haddow, Alexandra Birch, Pierre Colombo, André F. T. Martins:
Hallucinations in Large Multilingual Translation Models. Trans. Assoc. Comput. Linguistics 11: 1500-1517 (2023) - [j11]Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins:
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. Trans. Assoc. Comput. Linguistics 11: 1643-1668 (2023) - 2022
- [j10]André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. J. Mach. Learn. Res. 23: 257:1-257:74 (2022) - 2020
- [j9]Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning with Fenchel-Young losses. J. Mach. Learn. Res. 21: 35:1-35:69 (2020) - 2017
- [j8]André F. T. Martins, Marcin Junczys-Dowmunt, Fábio N. Kepler, Ramón Fernandez Astudillo, Chris Hokamp, Roman Grundkiewicz:
Pushing the Limits of Translation Quality Estimation. Trans. Assoc. Comput. Linguistics 5: 205-218 (2017) - 2015
- [j7]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
AD3: alternating directions dual decomposition for MAP inference in graphical models. J. Mach. Learn. Res. 16: 495-545 (2015) - 2014
- [j6]Dipanjan Das, Desai Chen, André F. T. Martins, Nathan Schneider, Noah A. Smith:
Frame-Semantic Parsing. Comput. Linguistics 40(1): 9-56 (2014) - 2013
- [j5]Noah A. Smith, André F. T. Martins:
Linguistic structure prediction with the sparseptron. XRDS 19(3): 44-48 (2013) - [j4]Manuele Bicego, Aydin Ulas, Umberto Castellani, Alessandro Perina, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Combining information theoretic kernels with generative embeddings for classification. Neurocomputing 101: 161-169 (2013) - 2009
- [j3]André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Nonextensive Information Theoretic Kernels on Measures. J. Mach. Learn. Res. 10: 935-975 (2009) - 2006
- [j2]Maria Alexandra Rentroia-Bonito, Frederico C. Figueiredo, André F. T. Martins, Joaquim A. Jorge, Claude Ghaoui:
An integrated evaluation method for e-learning: a case study. Interact. Technol. Smart Educ. 3(1): 59-68 (2006) - 2005
- [j1]André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Orientation in Manhattan: Equiprojective Classes and Sequential Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 822-826 (2005)
Conference and Workshop Papers
- 2024
- [c124]Peiqin Lin, Chengzhi Hu, Zheyu Zhang, André F. T. Martins, Hinrich Schütze:
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models. EACL (Findings) 2024: 276-310 - [c123]Dennis Ulmer, Chrysoula Zerva, André F. T. Martins:
Non-Exchangeable Conformal Language Generation with Nearest Neighbors. EACL (Findings) 2024: 1909-1929 - [c122]António Farinhas, Chrysoula Zerva, Dennis Ulmer, André F. T. Martins:
Non-Exchangeable Conformal Risk Control. ICLR 2024 - 2023
- [c121]Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze:
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. ACL (1) 2023: 1082-1117 - [c120]Ricardo Rei, Nuno Miguel Guerreiro, Marcos V. Treviso, Luísa Coheur, Alon Lavie, André F. T. Martins:
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics. ACL (2) 2023: 1089-1105 - [c119]Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins:
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. ACL (1) 2023: 13766-13784 - [c118]Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Python Code Generation by Asking Clarification Questions. ACL (1) 2023: 14287-14306 - [c117]Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins:
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. ACL (1) 2023: 15109-15126 - [c116]Nuno Miguel Guerreiro, Elena Voita, André F. T. Martins:
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. EACL 2023: 1059-1075 - [c115]Taisiya Glushkova, Chrysoula Zerva, André F. T. Martins:
BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation. EAMT 2023: 47-58 - [c114]Pedro Henrique Martins, João Alves, Tânia Vaz, Madalena Gonçalves, Beatriz Silva, Marianna Buchicchio, José G. C. de Souza, André F. T. Martins:
Empirical Assessment of kNN-MT for Real-World Translation Scenarios. EAMT 2023: 115-124 - [c113]Duarte M. Alves, Nuno Miguel Guerreiro, João Alves, José Pombal, Ricardo Rei, José Guilherme Camargo de Souza, Pierre Colombo, André F. T. Martins:
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. EMNLP (Findings) 2023: 11127-11148 - [c112]António Farinhas, José Guilherme Camargo de Souza, André F. T. Martins:
An Empirical Study of Translation Hypothesis Ensembling with Large Language Models. EMNLP 2023: 11956-11970 - [c111]Frédéric Blain, Chrysoula Zerva, Ricardo Ribeiro, Nuno Miguel Guerreiro, Diptesh Kanojia, José G. C. de Souza, Beatriz Silva, Tânia Vaz, Yan Jingxuan, Fatemeh Azadi, Constantin Orasan, André F. T. Martins:
Findings of the WMT 2023 Shared Task on Quality Estimation. WMT 2023: 629-653 - [c110]Ricardo Rei, Nuno Miguel Guerreiro, José Pombal, Daan van Stigt, Marcos V. Treviso, Luísa Coheur, José G. C. de Souza, André F. T. Martins:
Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task. WMT 2023: 841-848 - 2022
- [c109]Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
∞-former: Infinite Memory Transformer. ACL (1) 2022: 5468-5485 - [c108]Marcos V. Treviso, António Góis, Patrick Fernandes, Erick Rocha Fonseca, André F. T. Martins:
Predicting Attention Sparsity in Transformers. SPNLP@ACL 2022: 67-81 - [c107]Gonçalo Rui Alves Faria, André F. T. Martins, Mário A. T. Figueiredo:
Differentiable Causal Discovery Under Latent Interventions. CLeaR 2022: 253-274 - [c106]Ricardo Rei, Ana C. Farinha, José G. C. de Souza, Pedro G. Ramos, André F. T. Martins, Luísa Coheur, Alon Lavie:
Searching for COMETINHO: The Little Metric That Could. EAMT 2022: 61-70 - [c105]José G. C. de Souza, Ricardo Rei, Ana C. Farinha, Helena Moniz, André F. T. Martins:
QUARTZ: Quality-Aware Machine Translation. EAMT 2022: 313-314 - [c104]André F. T. Martins, Ben Peters, Chrysoula Zerva, Chunchuan Lyu, Gonçalo M. Correia, Marcos V. Treviso, Pedro Henrique Martins, Tsvetomila Mihaylova:
DeepSPIN: Deep Structured Prediction for Natural Language Processing. EAMT 2022: 325-326 - [c103]Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
Chunk-based Nearest Neighbor Machine Translation. EMNLP 2022: 4228-4245 - [c102]Chrysoula Zerva, Taisiya Glushkova, Ricardo Rei, André F. T. Martins:
Disentangling Uncertainty in Machine Translation Evaluation. EMNLP 2022: 8622-8641 - [c101]António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins:
Sparse Communication via Mixed Distributions. ICLR 2022 - [c100]Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins:
Modeling Structure with Undirected Neural Networks. ICML 2022: 15544-15560 - [c99]Marina Fomicheva, Shuo Sun, Erick R. Fonseca, Chrysoula Zerva, Frédéric Blain, Vishrav Chaudhary, Francisco Guzmán, Nina Lopatina, Lucia Specia, André F. T. Martins:
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. LREC 2022: 4963-4974 - [c98]Patrick Fernandes, António Farinhas, Ricardo Rei, José Guilherme Camargo de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins:
Quality-Aware Decoding for Neural Machine Translation. NAACL-HLT 2022: 1396-1412 - [c97]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. NeurIPS 2022 - [c96]Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, Eleftherios Avramidis, Tom Kocmi, George F. Foster, Alon Lavie, André F. T. Martins:
Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More Robust. WMT 2022: 46-68 - [c95]Chrysoula Zerva, Frédéric Blain, Ricardo Rei, Piyawat Lertvittayakumjorn, José G. C. de Souza, Steffen Eger, Diptesh Kanojia, Duarte M. Alves, Constantin Orasan, Marina Fomicheva, André F. T. Martins, Lucia Specia:
Findings of the WMT 2022 Shared Task on Quality Estimation. WMT 2022: 69-99 - [c94]Duarte M. Alves, Ricardo Rei, Ana C. Farinha, José G. C. de Souza, André F. T. Martins:
Robust MT Evaluation with Sentence-level Multilingual Augmentation. WMT 2022: 469-478 - [c93]Ricardo Rei, José G. C. de Souza, Duarte M. Alves, Chrysoula Zerva, Ana C. Farinha, Taisiya Glushkova, Alon Lavie, Luísa Coheur, André F. T. Martins:
COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task. WMT 2022: 578-585 - [c92]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:
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task. WMT 2022: 634-645 - [c91]Ana C. Farinha, M. Amin Farajian, Marianna Buchicchio, Patrick Fernandes, José G. C. de Souza, Helena Moniz, André F. T. Martins:
Findings of the WMT 2022 Shared Task on Chat Translation. WMT 2022: 724-743 - [c90]João Alves, Pedro Henrique Martins, José G. C. de Souza, M. Amin Farajian, André F. T. Martins:
Unbabel-IST at the WMT Chat Translation Shared Task. WMT 2022: 943-948 - 2021
- [c89]Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig:
Do Context-Aware Translation Models Pay the Right Attention? ACL/IJCNLP (1) 2021: 788-801 - [c88]Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins:
Measuring and Increasing Context Usage in Context-Aware Machine Translation. ACL/IJCNLP (1) 2021: 6467-6478 - [c87]Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins:
Uncertainty-Aware Machine Translation Evaluation. EMNLP (Findings) 2021: 3920-3938 - [c86]Nuno Miguel Guerreiro, André F. T. Martins:
SPECTRA: Sparse Structured Text Rationalization. EMNLP (1) 2021: 6534-6550 - [c85]Marcos V. Treviso, Nuno Miguel Guerreiro, Ricardo Rei, André F. T. Martins:
IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task. Eval4NLP 2021: 133-145 - [c84]António Farinhas, André F. T. Martins, Pedro M. Q. Aguiar:
Multimodal Continuous Visual Attention Mechanisms. ICCVW 2021: 1047-1056 - [c83]Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins:
Sparse And Structured Visual Attention. ICIP 2021: 379-383 - [c82]Ben Peters, André F. T. Martins:
Smoothing and Shrinking the Sparse Seq2Seq Search Space. NAACL-HLT 2021: 2642-2654 - [c81]Lucia Specia, Frédéric Blain, Marina Fomicheva, Chrysoula Zerva, Zhenhao Li, Vishrav Chaudhary, André F. T. Martins:
Findings of the WMT 2021 Shared Task on Quality Estimation. WMT@EMNLP 2021: 684-725 - [c80]Chrysoula Zerva, Daan van Stigt, Ricardo Rei, Ana C. Farinha, Pedro G. Ramos, José G. C. de Souza, Taisiya Glushkova, Miguel Vera, Fábio N. Kepler, André F. T. Martins:
IST-Unbabel 2021 Submission for the Quality Estimation Shared Task. WMT@EMNLP 2021: 961-972 - [c79]Ricardo Rei, Ana C. Farinha, Chrysoula Zerva, Daan van Stigt, Craig Stewart, Pedro G. Ramos, Taisiya Glushkova, André F. T. Martins, Alon Lavie:
Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task. WMT@EMNLP 2021: 1030-1040 - 2020
- [c78]Erick Rocha Fonseca, André F. T. Martins:
Revisiting Higher-Order Dependency Parsers. ACL 2020: 8795-8800 - [c77]Marcos V. Treviso, André F. T. Martins:
The Explanation Game: Towards Prediction Explainability through Sparse Communication. BlackboxNLP@EMNLP 2020: 107-118 - [c76]António Góis, Kyunghyun Cho, André F. T. Martins:
Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings. EAMT 2020: 205-214 - [c75]António V. Lopes, M. Amin Farajian, Rachel Bawden, Michael Zhang, André F. T. Martins:
Document-level Neural MT: A Systematic Comparison. EAMT 2020: 225-234 - [c74]André Filipe Torres Martins:
DeepSPIN: Deep Structured Prediction for Natural Language Processing. EAMT 2020: 493-494 - [c73]André Filipe Torres Martins, João Graça, Paulo Dimas, Helena Moniz, Graham Neubig:
Project MAIA: Multilingual AI Agent Assistant. EAMT 2020: 495-496 - [c72]Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins:
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. EMNLP (1) 2020: 2186-2202 - [c71]Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
Sparse Text Generation. EMNLP (1) 2020: 4252-4273 - [c70]Vlad Niculae, André F. T. Martins:
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. ICML 2020: 7348-7359 - [c69]Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins:
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. NeurIPS 2020 - [c68]André F. T. Martins, António Farinhas, Marcos V. Treviso, Vlad Niculae, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Sparse and Continuous Attention Mechanisms. NeurIPS 2020 - [c67]Ben Peters, André F. T. Martins:
One-Size-Fits-All Multilingual Models. SIGMORPHON 2020: 63-69 - [c66]M. Amin Farajian, António V. Lopes, André F. T. Martins, Sameen Maruf, Gholamreza Haffari:
Findings of the WMT 2020 Shared Task on Chat Translation. WMT@EMNLP 2020: 65-75 - [c65]Lucia Specia, Frédéric Blain, Marina Fomicheva, Erick Rocha Fonseca, Vishrav Chaudhary, Francisco Guzmán, André F. T. Martins:
Findings of the WMT 2020 Shared Task on Quality Estimation. WMT@EMNLP 2020: 743-764 - [c64]João Moura, Miguel Vera, Daan van Stigt, Fábio N. Kepler, André F. T. Martins:
IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task. WMT@EMNLP 2020: 1029-1036 - 2019
- [c63]André F. T. Martins, Tsvetomila Mihaylova, Nikita Nangia, Vlad Niculae:
Latent Structure Models for Natural Language Processing. ACL (4) 2019: 1-5 - [c62]Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, André F. T. Martins:
OpenKiwi: An Open Source Framework for Quality Estimation. ACL (3) 2019: 117-122 - [c61]Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
Joint Learning of Named Entity Recognition and Entity Linking. ACL (2) 2019: 190-196 - [c60]Tsvetomila Mihaylova, André F. T. Martins:
Scheduled Sampling for Transformers. ACL (2) 2019: 351-356 - [c59]Ben Peters, Vlad Niculae, André F. T. Martins:
Sparse Sequence-to-Sequence Models. ACL (1) 2019: 1504-1519 - [c58]Gonçalo M. Correia, André F. T. Martins:
A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning. ACL (1) 2019: 3050-3056 - [c57]Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. AISTATS 2019: 606-615 - [c56]Gonçalo M. Correia, Vlad Niculae, André F. T. Martins:
Adaptively Sparse Transformers. EMNLP/IJCNLP (1) 2019: 2174-2184 - [c55]António Góis, André F. T. Martins:
Translator2Vec: Understanding and Representing Human Post-Editors. MTSummit (1) 2019: 43-54 - [c54]Sameen Maruf, André F. T. Martins, Gholamreza Haffari:
Selective Attention for Context-aware Neural Machine Translation. NAACL-HLT (1) 2019: 3092-3102 - [c53]Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen:
Jointly Extracting and Compressing Documents with Summary State Representations. NAACL-HLT (1) 2019: 3955-3966 - [c52]Erick R. Fonseca, Lisa Yankovskaya, André F. T. Martins, Mark Fishel, Christian Federmann:
Findings of the WMT 2019 Shared Tasks on Quality Estimation. WMT (3) 2019: 1-10 - [c51]Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins:
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task. WMT (3) 2019: 78-84 - [c50]António V. Lopes, M. Amin Farajian, Gonçalo M. Correia, Jonay Trénous, André F. T. Martins:
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-Based Encoder-Decoder for Automatic Post-Editing. WMT (3) 2019: 118-123 - 2018
- [c49]Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, André F. T. Martins, Alexandra Birch:
Marian: Fast Neural Machine Translation in C++. ACL (4) 2018: 116-121 - [c48]Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins:
Sparse and Constrained Attention for Neural Machine Translation. ACL (2) 2018: 370-376 - [c47]Ben Peters, Vlad Niculae, André F. T. Martins:
Interpretable Structure Induction via Sparse Attention. BlackboxNLP@EMNLP 2018: 365-367 - [c46]Vlad Niculae, André F. T. Martins, Claire Cardie:
Towards Dynamic Computation Graphs via Sparse Latent Structure. EMNLP 2018: 905-911 - [c45]Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie:
SparseMAP: Differentiable Sparse Structured Inference. ICML 2018: 3796-3805 - [c44]Sameen Maruf, André F. T. Martins, Gholamreza Haffari:
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations. WMT 2018: 101-112 - [c43]Lucia Specia, Frédéric Blain, Varvara Logacheva, Ramón Fernandez Astudillo, André F. T. Martins:
Findings of the WMT 2018 Shared Task on Quality Estimation. WMT (shared task) 2018: 689-709 - 2017
- [c42]André F. T. Martins, Julia Kreutzer:
Learning What's Easy: Fully Differentiable Neural Easy-First Taggers. EMNLP 2017: 349-362 - [c41]André F. T. Martins, Fábio N. Kepler, José L. Monteiro:
Unbabel's Participation in the WMT17 Translation Quality Estimation Shared Task. WMT 2017: 569-574 - 2016
- [c40]Daniel C. Ferreira, André F. T. Martins, Mariana S. C. Almeida:
Jointly Learning to Embed and Predict with Multiple Languages. ACL (1) 2016 - [c39]Zita Marinho, André F. T. Martins, Shay B. Cohen, Noah A. Smith:
Semi-Supervised Learning of Sequence Models with Method of Moments. EMNLP 2016: 287-296 - [c38]André F. T. Martins, Ramón Fernandez Astudillo:
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification. ICML 2016: 1614-1623 - [c37]André F. T. Martins, Ramón Fernandez Astudillo, Chris Hokamp, Fábio N. Kepler:
Unbabel's Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task. WMT 2016: 806-811 - 2015
- [c36]Mariana S. C. Almeida, Cláudia Pinto, Helena Figueira, Pedro Mendes, André F. T. Martins:
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies. ACL (1) 2015: 408-418 - [c35]André F. T. Martins:
Transferring Coreference Resolvers with Posterior Regularization. ACL (1) 2015: 1427-1437 - [c34]Daniel Fernández-González, André F. T. Martins:
Parsing as Reduction. ACL (1) 2015: 1523-1533 - [c33]Mariana S. C. Almeida, André F. T. Martins:
Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data. SemEval@NAACL-HLT 2015: 970-973 - 2014
- [c32]Mariana S. C. Almeida, Miguel B. Almeida, André F. T. Martins:
A Joint Model for Quotation Attribution and Coreference Resolution. EACL 2014: 39-48 - [c31]Miguel B. Almeida, Mariana S. C. Almeida, André F. T. Martins, Helena Figueira, Pedro Mendes, Cláudia Pinto:
Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese. LREC 2014: 146-152 - [c30]André F. T. Martins, Mariana S. C. Almeida:
Priberam: A Turbo Semantic Parser with Second Order Features. SemEval@COLING 2014: 471-476 - 2013
- [c29]Miguel B. Almeida, André F. T. Martins:
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning. ACL (1) 2013: 196-206 - [c28]André F. T. Martins, Miguel B. Almeida, Noah A. Smith:
Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers. ACL (2) 2013: 617-622 - 2012
- [c27]André F. T. Martins, Mário A. T. Figueiredo, Noah A. Smith:
Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications. HLT-NAACL 2012 - [c26]Dipanjan Das, André F. T. Martins, Noah A. Smith:
An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints. *SEM@NAACL-HLT 2012: 209-217 - 2011
- [c25]André F. T. Martins, Noah A. Smith, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Dual Decomposition with Many Overlapping Components. EMNLP 2011: 238-249 - [c24]André F. T. Martins, Noah A. Smith, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Structured Sparsity in Structured Prediction. EMNLP 2011: 1500-1511 - [c23]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
An Augmented Lagrangian Approach to Constrained MAP Inference. ICML 2011: 169-176 - [c22]Manuele Bicego, Aydin Ulas, Peter J. Schüffler, Umberto Castellani, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels. PRIB 2011: 75-86 - [c21]André Filipe Torres Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Online Learning of Structured Predictors with Multiple Kernels. AISTATS 2011: 507-515 - 2010
- [c20]André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Turbo Parsers: Dependency Parsing by Approximate Variational Inference. EMNLP 2010: 34-44 - [c19]Manuele Bicego, Alessandro Perina, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Combining free energy score spaces with information theoretic kernels: Application to scene classification. ICIP 2010: 2661-2664 - [c18]Manuele Bicego, André Filipe Torres Martins, Vittorio Murino, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
2D Shape Recognition Using Information Theoretic Kernels. ICPR 2010: 25-28 - [c17]André F. T. Martins, Manuele Bicego, Vittorio Murino, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models. SSPR/SPR 2010: 463-472 - 2009
- [c16]André F. T. Martins, Noah A. Smith, Eric P. Xing:
Concise Integer Linear Programming Formulations for Dependency Parsing. ACL/IJCNLP 2009: 342-350 - [c15]André F. T. Martins, Noah A. Smith, Eric P. Xing:
Polyhedral outer approximations with application to natural language parsing. ICML 2009: 713-720 - 2008
- [c14]Carlos Amaral, Adán Cassan, Helena Figueira, André F. T. Martins, Afonso Mendes, Pedro Mendes, José Pina, Cláudia Pinto:
Priberam's Question Answering System in QA@CLEF 2008. CLEF 2008: 337-344 - [c13]Carlos Amaral, Adán Cassan, Helena Figueira, André F. T. Martins, Afonso Mendes, Pedro Mendes, José Pina, Cláudia Pinto:
Priberam's Question Answering system in QA@CLEF 2008. CLEF (Working Notes) 2008 - [c12]André F. T. Martins, Dipanjan Das, Noah A. Smith, Eric P. Xing:
Stacking Dependency Parsers. EMNLP 2008: 157-166 - [c11]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
Nonextensive entropic kernels. ICML 2008: 640-647 - [c10]André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Tsallis kernels on measures. ITW 2008: 298-302 - 2007
- [c9]Carlos Amaral, Adán Cassan, Helena Figueira, André F. T. Martins, Afonso Mendes, Pedro Mendes, Cláudia Pinto, Daniel Vidal:
Priberam's Question Answering System in QA@CLEF 2007. CLEF 2007: 364-371 - [c8]Carlos Amaral, Adán Cassan, Helena Figueira, André F. T. Martins, Afonso Mendes, Pedro Mendes, Cláudia Pinto, Daniel Vidal:
Priberam's Question Answering System in QA@CLEF 2007. CLEF (Working Notes) 2007 - 2006
- [c7]Adán Cassan, Helena Figueira, André F. T. Martins, Afonso Mendes, Pedro Mendes, Cláudia Pinto, Daniel Vidal:
Priberam's Question Answering System in a Cross-Language Environment. CLEF 2006: 300-309 - [c6]Adán Cassan, Helena Figueira, André F. T. Martins, Afonso Mendes, Pedro Mendes, Cláudia Pinto, Daniel Vidal:
Priberam's Question Answering System in a Cross-Language Environment. CLEF (Working Notes) 2006 - [c5]Maria Alexandra Rentroia-Bonito, Frederico C. Figueiredo, André F. T. Martins, Vitor Fernandes, Joaquim A. Jorge:
Web-Based Support for Resource-Effective E-Learning. WEBIST (2) 2006: 281-286 - 2005
- [c4]Carlos Amaral, Helena Figueira, André F. T. Martins, Afonso Mendes, Pedro Mendes, Cláudia Pinto:
Priberam's Question Answering System for Portuguese. CLEF 2005: 410-419 - [c3]Carlos Amaral, Helena Figueira, André F. T. Martins, Afonso Mendes, Pedro Mendes, Cláudia Pinto:
Priberam's Question Answering System for Portuguese. CLEF (Working Notes) 2005 - 2004
- [c2]Carlos Amaral, Dominique Laurent, André F. T. Martins, Afonso Mendes, Cláudia Pinto:
Design and Implementation of a Semantic Search Engine for Portuguese. LREC 2004 - 2003
- [c1]André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Navigating in Manhattan: 3D orientation from video without correspondences. ICIP (1) 2003: 285-288
Parts in Books or Collections
- 2013
- [p1]Pedro M. Q. Aguiar, Manuele Bicego, Umberto Castellani, Mário A. T. Figueiredo, André F. T. Martins, Vittorio Murino, Alessandro Perina, Aydin Ulas:
On the Combination of Information-Theoretic Kernels with Generative Embeddings. Similarity-Based Pattern Analysis and Recognition 2013: 67-83
Editorship
- 2022
- [e6]Andreas Vlachos, Priyanka Agrawal, André F. T. Martins, Gerasimos Lampouras, Chunchuan Lyu:
Proceedings of the Sixth Workshop on Structured Prediction for NLP, SPNLP@ACL 2022, Dublin, Ireland, May 27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-51-3 [contents] - 2021
- [e5]Zornitsa Kozareva, Sujith Ravi, Andreas Vlachos, Priyanka Agrawal, André F. T. Martins:
Proceedings of the 5th Workshop on Structured Prediction for NLP, SPNLP@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-75-6 [contents] - 2020
- [e4]Priyanka Agrawal, Zornitsa Kozareva, Julia Kreutzer, Gerasimos Lampouras, André F. T. Martins, Sujith Ravi, Andreas Vlachos:
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-83-5 [contents] - [e3]Mikel L. Forcada, André F. T. Martins, Helena Moniz, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof Arenas, Mary Nurminen, Lena Marg, Sara Fumega, Bruno Martins, Fernando Batista, Luísa Coheur, Carla Parra Escartín, Isabel Trancoso:
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, EAMT 2020, Lisboa, Portugal, November 3-5, 2020. European Association for Machine Translation 2020, ISBN 978-989-33-0589-8 [contents] - 2019
- [e2]André F. T. Martins, Andreas Vlachos, Zornitsa Kozareva, Sujith Ravi, Gerasimos Lampouras, Vlad Niculae, Julia Kreutzer:
Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, Minneapolis, Minnesota, Jun 7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-10-9 [contents] - 2018
- [e1]Ramón Fernandez Astudillo, João Graça, André F. T. Martins:
Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post-Editing, Boston, MA, USA, March 17, 2018. Association for Machine Translation in the Americas 2018 [contents]
Informal and Other Publications
- 2024
- [i90]Peiqin Lin, Shaoxiong Ji, Jörg Tiedemann, André F. T. Martins, Hinrich Schütze:
MaLA-500: Massive Language Adaptation of Large Language Models. CoRR abs/2401.13303 (2024) - [i89]Dennis Ulmer, Chrysoula Zerva, André F. T. Martins:
Non-Exchangeable Conformal Language Generation with Nearest Neighbors. CoRR abs/2402.00707 (2024) - [i88]Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio F. Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo:
CroissantLLM: A Truly Bilingual French-English Language Model. CoRR abs/2402.00786 (2024) - [i87]Saul Santos, Vlad Niculae, Daniel C. McNamee, André F. T. Martins:
Sparse and Structured Hopfield Networks. CoRR abs/2402.13725 (2024) - [i86]Duarte M. Alves, José Pombal, Nuno Miguel Guerreiro, Pedro Henrique Martins, João Alves, M. Amin Farajian, Ben Peters, Ricardo Rei, Patrick Fernandes, Sweta Agrawal, Pierre Colombo, José G. C. de Souza, André F. T. Martins:
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks. CoRR abs/2402.17733 (2024) - [i85]Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, André F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa:
SaulLM-7B: A pioneering Large Language Model for Law. CoRR abs/2403.03883 (2024) - [i84]Ben Peters, André F. T. Martins:
Did Translation Models Get More Robust Without Anyone Even Noticing? CoRR abs/2403.03923 (2024) - [i83]Sweta Agrawal, M. Amin Farajian, Patrick Fernandes, Ricardo Rei, André F. T. Martins:
Is Context Helpful for Chat Translation Evaluation? CoRR abs/2403.08314 (2024) - [i82]Margarida M. Campos, António Farinhas, Chrysoula Zerva, Mário A. T. Figueiredo, André F. T. Martins:
Conformal Prediction for Natural Language Processing: A Survey. CoRR abs/2405.01976 (2024) - [i81]Peiqin Lin, André F. T. Martins, Hinrich Schütze:
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples. CoRR abs/2405.05116 (2024) - [i80]Sweta Agrawal, António Farinhas, Ricardo Rei, André F. T. Martins:
Can Automatic Metrics Assess High-Quality Translations? CoRR abs/2405.18348 (2024) - [i79]Gonçalo Rui Alves Faria, Sweta Agrawal, António Farinhas, Ricardo Rei, José G. C. de Souza, André F. T. Martins:
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation. CoRR abs/2406.00049 (2024) - [i78]Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, Desmond Elliott, Raquel Fernández, Albert Gatt, Esam Ghaleb, Mario Giulianelli, Michael Hanna, Alexander Koller, André F. T. Martins, Philipp Mondorf, Vera Neplenbroek, Sandro Pezzelle, Barbara Plank, David Schlangen, Alessandro Suglia, Aditya K. Surikuchi, Ece Takmaz, Alberto Testoni:
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. CoRR abs/2406.18403 (2024) - [i77]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:
xTower: A Multilingual LLM for Explaining and Correcting Translation Errors. CoRR abs/2406.19482 (2024) - [i76]Peiqin Lin, André F. T. Martins, Hinrich Schütze:
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models. CoRR abs/2407.00436 (2024) - [i75]Hugo Pitorro, Pavlo Vasylenko, Marcos V. Treviso, André F. T. Martins:
How Effective are State Space Models for Machine Translation? CoRR abs/2407.05489 (2024) - 2023
- [i74]Vlad Niculae, Caio F. Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins:
Discrete Latent Structure in Neural Networks. CoRR abs/2301.07473 (2023) - [i73]Nuno Miguel Guerreiro, Duarte M. Alves, Jonas Waldendorf, Barry Haddow, Alexandra Birch, Pierre Colombo, André F. T. Martins:
Hallucinations in Large Multilingual Translation Models. CoRR abs/2303.16104 (2023) - [i72]Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins:
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. CoRR abs/2305.00955 (2023) - [i71]Ricardo Rei, Nuno Miguel Guerreiro, Marcos V. Treviso, Luísa Coheur, Alon Lavie, André F. T. Martins:
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics. CoRR abs/2305.11806 (2023) - [i70]Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze:
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. CoRR abs/2305.12182 (2023) - [i69]Peiqin Lin, Chengzhi Hu, Zheyu Zhang, André F. T. Martins, Hinrich Schütze:
mPLM-Sim: Unveiling Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models. CoRR abs/2305.13684 (2023) - [i68]Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins:
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. CoRR abs/2305.17075 (2023) - [i67]Taisiya Glushkova, Chrysoula Zerva, André F. T. Martins:
BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation. CoRR abs/2305.19144 (2023) - [i66]Chrysoula Zerva, André F. T. Martins:
Conformalizing Machine Translation Evaluation. CoRR abs/2306.06221 (2023) - [i65]Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat:
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR abs/2308.07286 (2023) - [i64]Ricardo Rei, Nuno Miguel Guerreiro, José Pombal, Daan van Stigt, Marcos V. Treviso, Luísa Coheur, José G. C. de Souza, André F. T. Martins:
Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task. CoRR abs/2309.11925 (2023) - [i63]António Farinhas, Chrysoula Zerva, Dennis Ulmer, André F. T. Martins:
Non-Exchangeable Conformal Risk Control. CoRR abs/2310.01262 (2023) - [i62]Nuno Miguel Guerreiro, Ricardo Rei, Daan van Stigt, Luísa Coheur, Pierre Colombo, André F. T. Martins:
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection. CoRR abs/2310.10482 (2023) - [i61]António Farinhas, José G. C. de Souza, André F. T. Martins:
An Empirical Study of Translation Hypothesis Ensembling with Large Language Models. CoRR abs/2310.11430 (2023) - [i60]Duarte M. Alves, Nuno Miguel Guerreiro, João Alves, José Pombal, Ricardo Rei, José G. C. de Souza, Pierre Colombo, André F. T. Martins:
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. CoRR abs/2310.13448 (2023) - [i59]Miguel Moura Ramos, Patrick Fernandes, António Farinhas, André F. T. Martins:
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference. CoRR abs/2311.09132 (2023) - 2022
- [i58]Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins:
Modeling Structure with Undirected Neural Networks. CoRR abs/2202.03760 (2022) - [i57]Gonçalo Rui Alves Faria, André F. T. Martins, Mário A. T. Figueiredo:
Differentiable Causal Discovery Under Latent Interventions. CoRR abs/2203.02336 (2022) - [i56]Chrysoula Zerva, Taisiya Glushkova, Ricardo Rei, André F. T. Martins:
Better Uncertainty Quantification for Machine Translation Evaluation. CoRR abs/2204.06546 (2022) - [i55]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. CoRR abs/2204.10810 (2022) - [i54]Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
Efficient Machine Translation Domain Adaptation. CoRR abs/2204.12608 (2022) - [i53]Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins:
Quality-Aware Decoding for Neural Machine Translation. CoRR abs/2205.00978 (2022) - [i52]Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
Chunk-based Nearest Neighbor Machine Translation. CoRR abs/2205.12230 (2022) - [i51]Nuno Miguel Guerreiro, Elena Voita, André F. T. Martins:
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. CoRR abs/2208.05309 (2022) - [i50]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:
Efficient Methods for Natural Language Processing: A Survey. CoRR abs/2209.00099 (2022) - [i49]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, Alon Lavie, Luísa Coheur, André F. T. Martins:
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task. CoRR abs/2209.06243 (2022) - [i48]Diogo Pernes, Afonso Mendes, André F. T. Martins:
Improving abstractive summarization with energy-based re-ranking. CoRR abs/2210.15553 (2022) - [i47]Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins:
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. CoRR abs/2212.09631 (2022) - [i46]Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Asking Clarification Questions for Code Generation in General-Purpose Programming Language. CoRR abs/2212.09885 (2022) - 2021
- [i45]Ben Peters, André F. T. Martins:
Smoothing and Shrinking the Sparse Seq2Seq Search Space. CoRR abs/2103.10291 (2021) - [i44]André F. T. Martins:
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication. CoRR abs/2104.00755 (2021) - [i43]António Farinhas, André F. T. Martins, Pedro M. Q. Aguiar:
Multimodal Continuous Visual Attention Mechanisms. CoRR abs/2104.03046 (2021) - [i42]Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins:
Measuring and Increasing Context Usage in Context-Aware Machine Translation. CoRR abs/2105.03482 (2021) - [i41]Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig:
Do Context-Aware Translation Models Pay the Right Attention? CoRR abs/2105.06977 (2021) - [i40]André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. CoRR abs/2108.01988 (2021) - [i39]António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins:
Sparse Communication via Mixed Distributions. CoRR abs/2108.02658 (2021) - [i38]Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
∞-former: Infinite Memory Transformer. CoRR abs/2109.00301 (2021) - [i37]Nuno Miguel Guerreiro, André F. T. Martins:
SPECTRA: Sparse Structured Text Rationalization. CoRR abs/2109.04552 (2021) - [i36]Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins:
Uncertainty-Aware Machine Translation Evaluation. CoRR abs/2109.06352 (2021) - [i35]Kayo Yin, Patrick Fernandes, André F. T. Martins, Graham Neubig:
When Does Translation Require Context? A Data-driven, Multilingual Exploration. CoRR abs/2109.07446 (2021) - [i34]Marcos V. Treviso, António Góis, Patrick Fernandes, Erick R. Fonseca, André F. T. Martins:
Predicting Attention Sparsity in Transformers. CoRR abs/2109.12188 (2021) - 2020
- [i33]Vlad Niculae, André F. T. Martins:
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. CoRR abs/2001.04437 (2020) - [i32]Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins:
Sparse and Structured Visual Attention. CoRR abs/2002.05556 (2020) - [i31]Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
Sparse Text Generation. CoRR abs/2004.02644 (2020) - [i30]Marcos V. Treviso, André F. T. Martins:
Towards Prediction Explainability through Sparse Communication. CoRR abs/2004.13876 (2020) - [i29]António Góis, Kyunghyun Cho, André F. T. Martins:
Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings. CoRR abs/2004.14120 (2020) - [i28]André F. T. Martins, Marcos V. Treviso, António Farinhas, Vlad Niculae, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Sparse and Continuous Attention Mechanisms. CoRR abs/2006.07214 (2020) - [i27]Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins:
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. CoRR abs/2007.01919 (2020) - [i26]Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins:
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. CoRR abs/2010.02357 (2020) - [i25]Marina Fomicheva, Shuo Sun, Erick R. Fonseca, Frédéric Blain, Vishrav Chaudhary, Francisco Guzmán, Nina Lopatina, Lucia Specia, André F. T. Martins:
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. CoRR abs/2010.04480 (2020) - 2019
- [i24]Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning with Fenchel-Young Losses. CoRR abs/1901.02324 (2019) - [i23]Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, André F. T. Martins:
OpenKiwi: An Open Source Framework for Quality Estimation. CoRR abs/1902.08646 (2019) - [i22]Sameen Maruf, André F. T. Martins, Gholamreza Haffari:
Selective Attention for Context-aware Neural Machine Translation. CoRR abs/1903.08788 (2019) - [i21]Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen:
Jointly Extracting and Compressing Documents with Summary State Representations. CoRR abs/1904.02020 (2019) - [i20]Ben Peters, Vlad Niculae, André F. T. Martins:
Sparse Sequence-to-Sequence Models. CoRR abs/1905.05702 (2019) - [i19]António V. Lopes, M. Amin Farajian, Gonçalo M. Correia, Jonay Trénous, André F. T. Martins:
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing. CoRR abs/1905.13068 (2019) - [i18]Gonçalo M. Correia, André F. T. Martins:
A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning. CoRR abs/1906.06253 (2019) - [i17]Tsvetomila Mihaylova, André F. T. Martins:
Scheduled Sampling for Transformers. CoRR abs/1906.07651 (2019) - [i16]Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
Joint Learning of Named Entity Recognition and Entity Linking. CoRR abs/1907.08243 (2019) - [i15]André F. T. Martins, Vlad Niculae:
Notes on Latent Structure Models and SPIGOT. CoRR abs/1907.10348 (2019) - [i14]Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins:
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task. CoRR abs/1907.10352 (2019) - [i13]António Góis, André F. T. Martins:
Translator2Vec: Understanding and Representing Human Post-Editors. CoRR abs/1907.10362 (2019) - [i12]Gonçalo M. Correia, Vlad Niculae, André F. T. Martins:
Adaptively Sparse Transformers. CoRR abs/1909.00015 (2019) - 2018
- [i11]Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie:
SparseMAP: Differentiable Sparse Structured Inference. CoRR abs/1802.04223 (2018) - [i10]Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, André F. T. Martins, Alexandra Birch:
Marian: Fast Neural Machine Translation in C++. CoRR abs/1804.00344 (2018) - [i9]Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins:
Sparse and Constrained Attention for Neural Machine Translation. CoRR abs/1805.08241 (2018) - [i8]Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. CoRR abs/1805.09717 (2018) - [i7]Sameen Maruf, André F. T. Martins, Gholamreza Haffari:
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations. CoRR abs/1809.00344 (2018) - [i6]Vlad Niculae, André F. T. Martins, Claire Cardie:
Towards Dynamic Computation Graphs via Sparse Latent Structure. CoRR abs/1809.00653 (2018) - 2016
- [i5]Peteris Paikens, Guntis Barzdins, Afonso Mendes, Daniel C. Ferreira, Samuel Broscheit, Mariana S. C. Almeida, Sebastião Miranda, David Nogueira, Pedro Balage, André F. T. Martins:
SUMMA at TAC Knowledge Base Population Task 2016. TAC 2016 - [i4]André F. T. Martins, Ramón Fernandez Astudillo:
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification. CoRR abs/1602.02068 (2016) - 2015
- [i3]Daniel Fernández-González, André F. T. Martins:
Parsing as Reduction. CoRR abs/1503.00030 (2015) - 2012
- [i2]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
Alternating Directions Dual Decomposition. CoRR abs/1212.6550 (2012) - 2008
- [i1]André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Nonextensive Generalizations of the Jensen-Shannon Divergence. CoRR abs/0804.1653 (2008)
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