Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset
- DOI
- 10.1142/9789819824755_0002
- Published
- 2025-12
- Container
- Biocomputing 2026
- Publisher
- WORLD SCIENTIFIC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1142/9789819824755_0002,
title = {Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset},
author = {Sumon Kanti Dey and Jeanne M. Powell and Azra Ismail and Jeanmarie Perrone and Abeed Sarker},
year = {2025},
journal = {Biocomputing 2026},
doi = {10.1142/9789819824755_0002},
url = {https://doi.org/10.1142/9789819824755_0002}
}RIS
TY - JOUR TI - Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset AU - Sumon Kanti Dey AU - Jeanne M. Powell AU - Azra Ismail AU - Jeanmarie Perrone AU - Abeed Sarker PY - 2025 JO - Biocomputing 2026 DO - 10.1142/9789819824755_0002 UR - https://doi.org/10.1142/9789819824755_0002 ER -
APA
Dey, S. K., Powell, J. M., Ismail, A., Perrone, J., & Sarker, A. (2025). Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset. Biocomputing 2026. https://doi.org/10.1142/9789819824755_0002
Source records
- crossref · retrieved 2026-09-25T17:01:42.446Z