【MEDICAL】Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization

时间 2021-01-11

标签 NLP 繁體版

原文原文链接

任务：据作者说，英文的医疗影像报告同时具有两个描述，一个是FINDINGS，阐述了整个图像的细节与特点，还有一个是IMPRESSION，只重点描述图像中的关键信息，这些关键信息是包含在FINDINGS里面的。总之，本篇论文做的就是利用这个FINDINGS来生成IMPRESSION，即在文本摘要在医疗领域的应用。模型： Content Sel

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1. A Deep Reinforced Model for Abstractive Summarization
2. [Style Transfer]——GANs for Medical Image Analysis
3. Deep Communicating Agents for Abstractive Summarization论文分享
4. International Conference for Smart Health 2015 Call for Papers
5. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
6. Medical Checkup ---ACM
7. personal medical event extraction
8. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization
9. Self-Attention Guided Copy Mechanism for Abstractive Summarization---ACL 2020
10. 多标签分类：Global Encoding for Abstractive Summarization

>>更多相关文章<<