tejasvaidhyadev/NER_Lab_Protocols
Domain-specific BERT representation for Named Entity Recognition of lab protocol
This project helps scientists and lab technicians automatically extract key information from experimental lab protocols. It takes free-text lab protocols as input and highlights important entities such as actions, amounts, reagents, temperatures, and times. The primary user would be researchers in medical, biological, or chemical fields needing to quickly parse and analyze experimental procedures.
No commits in the last 6 months.
Use this if you need to systematically identify and extract structured data from unstructured text descriptions of laboratory experiments.
Not ideal if your protocols are already highly structured or if you need to extract information outside of the defined entity types (e.g., patient diagnoses, drug interactions).
Stars
29
Forks
5
Language
Python
License
MIT
Category
Last pushed
Dec 25, 2020
Commits (30d)
0
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