Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization

Information Science, Computer Science, Artificial Intelligence, Medicine, Environmental and Public Health, Medical Laboratory Science, Life Sciences, Biochemistry,
biomedical text summarization   domain knowledge   graph neural network   explainability   pre-trained language models  

Application of Knowledge-Enhanced Graph Topic Transformer in Interpretable Biomedical Text Summarization Research Background Due to the continuous increase in the volume of biomedical literature, the task of automatic biomedical text summarization has become increasingly important. In 2021 alone, 1,767,637 articles were published in the PubMed data...

Mitigating Social Biases of Pre-trained Language Models via Contrastive Self-Debiasing with Double Data Augmentation

Information Science, Computer Science, Artificial Intelligence,
pre-trained language models   social bias   contrastive learning   prompt learning   data augmentation  

Introduction: Currently, pre-trained language models (PLMs) are widely applied in the field of natural language processing, but they have the problem of inheriting and amplifying social biases present in the training corpora. Social biases may lead to unpredictable risks in real-world applications of PLMs, such as automatic job screening systems te...