Description
- Abstract:
- Surgical clinical research often utilizes information within operative notes including data about the supplies, tools, and techniques used for a given procedure. We have previously demonstrated that compared to general English semantic frames, surgical operative notes contain semantic frames with additional or different arguments and that additional verb senses. In this study, we investigated the use of an unsupervised approach for inducing semantic frames for surgical action verbs. Our results demonstrate that semantic frames induced from domain corpus using unsupervised approach cover most of the domain semantic frames created by human experts
- Notes:
- Source: Electronic Health Record
- Method: Natural Language Processing
- Support for this research came from American Surgical Association Foundation and National Institutes of Health (#R01LM011364(GM), #R01GM102282(SP), #8UL1TR000114).
- Poster abstract for the 2015 AMIA Annual Symposium
Access Conditions
- Use and Reproduction
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- This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Citation
Wang, Yan, Pakhomov, Serguei, and Melton, Genevieve B.,
"Unsupervised induction of domain-specific semantic frames from operative notes for surgical clinical research"
(2015).
SFHERE Publications and Presentations.
Brown Digital Repository. Brown University Library.
https://repository.library.brown.edu/studio/item/bdr:697511/
Relations
Collection:
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SFHERE Publications and Presentations
This collection houses journal articles, conference papers and presentations, and abstracts and posters authored by members of the SFHERE team....