Learning to Ask Like a Physician
Open accessAbstract
Eric Lehman, Vladislav Lialin, Katelyn Edelwina Legaspi, Anne Janelle Sy, Patricia Therese Pile, Nicole Rose Alberto, Richard Raymund Ragasa, Corinna Victoria Puyat, Marianne Katharina Taliño, Isabelle Rose Alberto, Pia Gabrielle Alfonso, Dana Moukheiber, Byron Wallace, Anna Rumshisky, Jennifer Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits. Proceedings of the 4th Clinical Natural Language Processing Workshop. 2022.
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[125] used pre-trained transformer models on the curated dataset and achieved promising results.
“After analysis of the type of questions, they used pre-trained transformer models to train on the dataset and achieved promising results.”
From Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications (2023) · cites this paper as [125]
In [125], ten medical experts curated a dataset from discharge summaries to construct more than 2000 diagnosis-related questions.
“Here, the authors have curated a dataset from discharge summaries with the help of 10 experts in the medical domain to construct 2000+ questions related to the diagnosis.”
From Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications (2023) · cites this paper as [125]
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- Authors
- Lehman, E., Lialin, V., Legaspi, K. E., Sy, A. J., Pile, P. T., Alberto, N. R., Ragasa, R. R., Puyat, C. V., Taliño, M. K., Alberto, I. R., Alfonso, P. G., Moukheiber, D., Wallace, B., Rumshisky, A., Liang, J., Raghavan, P., Celi, L. A., & Szolovits, P.
- Affiliations
- IBM (United States) (US)
- University of Massachusetts Lowell (US)
- University of the Philippines System (PH)
- University of the East Ramon Magsaysay Memorial Medical Center (PH)
- Massachusetts Institute of Technology (US)
- Northeastern University (US)
- Beth Israel Deaconess Medical Center (US)
- ORCID
- Venue
- Proceedings of the 4th Clinical Natural Language Processing Workshop
- Published
- 2022
- Pages
- 74-86
- OpenAlex
- W4287889097
- Cited by
- 10
- References
- 68
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 5
- FWCI
- 10.54
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Clinical Natural Language Processing Workshop (ClinicalNLP) (publishedVersion, cc-by)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- medical question answering, clinical natural language processing
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