Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art
Patrick Lewis, Myle Ott, Jingfei Du, Veslin Stoyanov
People
Myle Ott
Research Engineer
I am a Research Engineer in Facebook’s AI Research group (FAIR), focusing on projects in dialogue, machine translation and text generation. Prior to Facebook, I completed my PhD at Cornell University in their NLP group, where my research explored approaches for identifying deception and sentiment in social media text.
Interests
Machine learning, natural language processing, and machine translation.
Latest Publications
Clinical NLP Workshop at EMNLP
On The Evaluation of Machine Translation Systems Trained With Back-Translation
Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, Michael Auli
Residual Energy-Based Models for Text Generation
Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato
Facebook AI’s WAT19 Myanmar-English Translation Task Submission
Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English
Francisco (Paco) Guzman, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc'Aurelio Ranzato
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Tianxiao Shen, Myle Ott, Michael Auli, Marc'Aurelio Ranzato