Michael Lucas

According to our database, Michael Lucas authored at least 4 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.

Sam Preston, Mu Wei, Rajesh Rao, Robert Tinn, Naoto Usuyama, Michael Lucas, Yu Gu, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon

Patterns, April, 2023

2022

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.

Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon

ACM Trans. Comput. Heal., 2022

Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision.

Sam Preston, Mu Wei, Rajesh Rao, Robert Tinn, Naoto Usuyama, Michael Lucas, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon

CoRR, 2022

2013

Scaling Semi-supervised Naive Bayes with Feature Marginals.

Michael Lucas, Doug Downey

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013