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ORCIDJohn E. Ortega
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- affiliation: Northeastern University, Institute for Experiential AI, Boston, MA, USA
- affiliation: Columbia University, New York City, NY, USA
- affiliation: New York University, Courant Institute of Mathematical Sciences, New York City, NY, USA
- affiliation: University of Santiago de Compostela, Spain
- affiliation (PhD 2021): University of Alicante, Department of Software and Computing systems, San Vicente del Raspeig, Spain
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2020 – today
- 2024
[j6]Ayush Singh, Saranya Krishnamoorthy, John E. Ortega:
NeighBERT: Medical Entity Linking Using Relation-Induced Dense Retrieval. J. Heal. Informatics Res. 8(2): 353-369 (2024)- [c20]Chih-Chen Chen, William Chen, Rodolfo Joel Zevallos Salazar, John E. Ortega:
Evaluating Self-Supervised Speech Representations for Indigenous American Languages. LREC/COLING 2024: 6444-6450 - [c19]Rodolfo Joel Zevallos Salazar, John E. Ortega, Benjamin Irving:
Related Work Is All You Need. LREC/COLING 2024: 13874-13878 - [c18]John E. Ortega, Annika Marie Schoene:
Is it safe to machine translate suicide-related language from English to Galician? PROPOR 2024: 558-562 - [i9]John E. Ortega, Ibrahim Said Ahmad, William Chen:
Nollywood: Let's Go to the Movies! CoRR abs/2407.02631 (2024) - [i8]Jordan Miner, John E. Ortega:
NLP Case Study on Predicting the Before and After of the Ukraine-Russia and Hamas-Israel Conflicts. CoRR abs/2410.06427 (2024) - 2023
- [j5]Kenneth Church
, Annika Marie Schoene, John E. Ortega, Raman Chandrasekar, Valia Kordoni:
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable. Nat. Lang. Eng. 29(2): 483-508 (2023) - [c17]Abteen Ebrahimi, Arya D. McCarthy, Arturo Oncevay, John E. Ortega, Luis Chiruzzo, Gustavo Giménez Lugo, Rolando Coto-Solano, Katharina Kann:
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models. EACL 2023: 3894-3908 - [c16]Annika Marie Schoene, John E. Ortega, Silvio Amir, Kenneth Church:
An Example of (Too Much) Hyper-Parameter Tuning In Suicide Ideation Detection. ICWSM 2023: 1158-1162 - [c15]Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos:
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL 2023: 1-61 - [c14]John E. Ortega, Rodolfo Zevallos, William Chen:
QUESPA Submission for the IWSLT 2023 Dialect and Low-resource Speech Translation Tasks. IWSLT@ACL 2023: 261-268 - [c13]John E. Ortega, Kenneth Church:
A Research-Based Guide for the Creation and Deployment of a Low-Resource Machine Translation System. RANLP 2023: 813-823 - [c12]Shubham Vatsal, Adam Meyers, John E. Ortega:
Classification of US Supreme Court Cases Using BERT-Based Techniques. RANLP 2023: 1207-1215 - [i7]Abteen Ebrahimi, Arya D. McCarthy, Arturo Oncevay, Luis Chiruzzo, John E. Ortega, Gustavo Alberto Giménez Lugo, Rolando Coto-Solano, Katharina Kann:
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models. CoRR abs/2302.07912 (2023) - [i6]Shubham Vatsal, Adam Meyers, John E. Ortega:
Classification of US Supreme Court Cases using BERT-Based Techniques. CoRR abs/2304.08649 (2023) - [i5]Chih-Chen Chen, William Chen, Rodolfo Zevallos, John E. Ortega:
Evaluating Self-Supervised Speech Representations for Indigenous American Languages. CoRR abs/2310.03639 (2023) - 2022
- [j4]Katharina Kann, Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, John E. Ortega, Annette Rios, Angela Fan, Ximena Gutierrez-Vasques, Luis Chiruzzo, Gustavo Alberto Giménez Lugo, Ricardo Ramos, Iván Vladimir Meza Ruíz, Elisabeth Mager, Vishrav Chaudhary, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu:
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. Frontiers Artif. Intell. 5 (2022) - [j3]John E. Ortega, Mikel L. Forcada, Felipe Sánchez-Martínez:
Fuzzy-Match Repair Guided by Quality Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1264-1277 (2022) - [c11]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Iván Vladimir Meza Ruíz, Gustavo Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. ACL (1) 2022: 6279-6299 - [c10]Nelsi Melgarejo, Rodolfo Zevallos, Hector Gomez, John E. Ortega:
WordNet-QU: Development of a Lexical Database for Quechua Varieties. COLING 2022: 4429-4433 - [c9]John E. Ortega, Iria de-Dios-Flores, José Ramom Pichel Campos, Pablo Gamallo:
Revisiting CCNet for Quality Measurements in Galician. PROPOR 2022: 407-412 - [c8]Adina Ioana Vladu, Iria de-Dios-Flores, Carmen Magariños, John E. Ortega, José Ramom Pichel Campos, Marcos García, Pablo Gamallo, Elisa Fernández Rei, Alberto Bugarín, Manuel González González, Senén Barro, Xose Luis Regueira:
Proxecto Nós: Artificial intelligence at the service of the Galician language. SEPLN (Projects and Demonstrations) 2022: 26-30 - [c7]John E. Ortega, Iria de-Dios-Flores, José Ramom Pichel Campos, Pablo Gamallo:
A neural machine translation system for Galician from transliterated Portuguese text. SEPLN (Projects and Demonstrations) 2022: 92-95 - [i4]John E. Ortega:
Enhancing Networking Cipher Algorithms with Natural Language. CoRR abs/2206.10924 (2022) - [i3]Ayush Singh, John E. Ortega:
Addressing Distribution Shift at Test Time in Pre-trained Language Models. CoRR abs/2212.02384 (2022) - 2021
- [c6]Abteen Ebrahimi, Manuel Mager, Adam Wiemerslage, Pavel Denisov, Arturo Oncevay, Danni Liu, Sai Koneru, Enes Yavuz Ugan, Zhaolin Li, Jan Niehues, Monica Romero, Iván G. Torre, Tanel Alumäe, Jiaming Kong, Sergey Polezhaev, Yury Belousov, Wei-Rui Chen, Peter Sullivan, Ife Adebara, Bashar Talafha, Alcides Alcoba Inciarte, Muhammad Abdul-Mageed, Luis Chiruzzo, Rolando Coto-Solano, Hilaria Cruz, Sofía Flores-Solórzano, Aldo Andrés Alvarez López, Iván V. Meza-Ruíz, John E. Ortega, Alexis Palmer, Rodolfo Zevallos, Kristine Stenzel, Thang Vu, Katharina Kann:
Findings of the Second AmericasNLP Competition on Speech-to-Text Translation. NeurIPS (Competition and Demos) 2021: 217-232 - [i2]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir, Gustavo Alberto Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. CoRR abs/2104.08726 (2021) - [i1]Atul Kr. Ojha, Chao-Hong Liu, Katharina Kann, John E. Ortega, Sheetal Shatam, Theodorus Fransen:
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages. CoRR abs/2108.06598 (2021) - 2020
- [j2]John E. Ortega, Richard Castro Mamani, Kyunghyun Cho:
Neural machine translation with a polysynthetic low resource language. Mach. Transl. 34(4): 325-346 (2020) - [e1]John E. Ortega, Marcello Federico, Constantin Orasan, Maja Popovic:
Proceedings of 1st Workshop on Post-Editing in Modern-Day Translation, PEMDT@AMTA 2020, Virtual, October, 2020. Association for Machine Translation in the Americas 2020 [contents]
2010 – 2019
- 2019
- [c5]John E. Ortega, Felipe Sánchez-Martínez, Marco Turchi, Matteo Negri:
Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing. MTSummit (1) 2019: 256-266 - 2018
- [j1]Adam L. Meyers, Yifan He, Zachary Glass, John E. Ortega, Shasha Liao, Angus Grieve-Smith, Ralph Grishman, Olga Babko-Malaya:
The Termolator: Terminology Recognition Based on Chunking, Statistical and Search-Based Scores. Frontiers Res. Metrics Anal. 3: 19 (2018) - [c4]Rebecca Knowles, John E. Ortega, Philipp Koehn:
A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair. PostEditing@AMTA 2018: 249-255 - [c3]John E. Ortega, Weiyi Lu, Adam Meyers, Kyunghyun Cho:
Letting a Neural Network Decide Which Machine Translation System to Use for Black-Box Fuzzy-Match Repair. EAMT 2018: 229-238 - 2016
- [c2]John E. Ortega, Felipe Sánchez-Martínez, Mikel L. Forcada:
Fuzzy-match repair using black-box machine translation systems: what can be expected? AMTA (1) 2016: 27-39 - 2014
- [c1]John E. Ortega, Felipe Sánchez-Martínez, Mikel L. Forcada:
Using any machine translation source for fuzzy-match repair in a computer-aided translation setting. AMTA 2014: 42-53
Coauthor Index
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