SentiMedQAer: A Transfer Learning-Based Sentiment-Aware Model for Biomedical Question Answering

Recent advances have witnessed a trending application of transfer learning in a broad spectrum of natural language processing (NLP) tasks, including question answering (QA). Transfer learning allows a model to inherit domain knowledge obtained from an existing model that has been sufficiently pre-tr...

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Bibliographic Details
Main Authors:	Chen, Y. (Author), Gu, Y. (Author), Xiao, Z. (Author), Zhu, X. (Author)
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022
Subjects:	article Biomedical fields biomedical question answering Biomedical question answering Broad spectrum Classification (of information) classifier Domain knowledge Domain Knowledge embedding human learning Learning systems pipeline Question Answering reasoning RoBERTa sentiment analysis Sentiment analysis T5 transfer learning Transfer learning transfer of learning Xgboost XGBoost
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SentiMedQAer: A Transfer Learning-Based Sentiment-Aware Model for Biomedical Question Answering

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