Feature extraction and evaluation for BioMedical Question Answering
Published in arXiv preprint arXiv:2105.14013, 2021
This work presents a comprehensive study on feature extraction techniques for biomedical question answering tasks. We explore various feature representations including traditional NLP features and modern transformer-based embeddings for handling complex biomedical terminology and domain-specific language. Our evaluation covers multiple benchmark datasets and provides insights into the most effective feature extraction strategies for improving QA performance in the biomedical domain.
Recommended citation: @article{shah2021feature, title={Feature Extraction and Evaluation for BioMedical Question Answering}, author={Shah, Ankit and Singh, Srishti and Tao, Shih-Yen}, journal={arXiv preprint arXiv:2105.14013}, year={2021} }
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