HS1CMU/MediQA-Model
2022 May-Aug, NLP Summer Research Assistant at CS & AI Lab, UNNC. Explored the feasibility of Bert-like models for machine reading comprehension of small text in medical areas.
This project explores using Bert-like models for medical question-answering, specifically with short texts from medical illustration videos. It takes medical questions and short text snippets as input and provides precise answers, helping medical researchers or AI developers working on specialized healthcare applications to quickly extract information.
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Use this if you are a researcher or AI developer focused on building or evaluating machine reading comprehension models for medical short-text Q&A tasks.
Not ideal if you need a ready-to-use, production-grade medical Q&A system for a broad range of medical texts or if you are not comfortable with command-line execution and model parameter adjustments.
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Python
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Jan 16, 2025
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