vishalrk1/SkimLit
An NLP model to classify abstract sentences into the role they play (e.g. objective, methods, results, etc..) to enable researchers to skim through the literature and dive deeper when necessary.
This project helps medical researchers quickly grasp the core content of scientific papers. You input a medical abstract, and it outputs each sentence classified by its role, such as objective, methods, or results. This allows researchers to efficiently skim literature and identify relevant sections for deeper reading.
No commits in the last 6 months.
Use this if you need to rapidly triage numerous medical research abstracts and determine which sections are most relevant to your work.
Not ideal if you require a comprehensive, in-depth analysis of the full text of a research paper beyond its abstract.
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Language
Jupyter Notebook
License
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Last pushed
Feb 03, 2022
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