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Michael Lucas
Publication Activity (10 Years)
Years Active: 2013-2023
Publications (10 Years): 4
Top Topics
Naive Bayes
Deep Learning
Ad Hoc Information Retrieval
Wordnet
Top Venues
CoRR
ACL (1)
Patterns
ACM Trans. Comput. Heal.
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Publications
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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
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.
Patterns
4 (4) (2023)
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
Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision.
CoRR
(2022)
Yu Gu
,
Robert Tinn
,
Hao Cheng
,
Michael Lucas
,
Naoto Usuyama
,
Xiaodong Liu
,
Tristan Naumann
,
Jianfeng Gao
,
Hoifung Poon
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.
ACM Trans. Comput. Heal.
3 (1) (2022)
Yu Gu
,
Robert Tinn
,
Hao Cheng
,
Michael Lucas
,
Naoto Usuyama
,
Xiaodong Liu
,
Tristan Naumann
,
Jianfeng Gao
,
Hoifung Poon
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.
CoRR
(2020)
Michael Lucas
,
Doug Downey
Scaling Semi-supervised Naive Bayes with Feature Marginals.
ACL (1)
(2013)