Papers with question-focused dual attention

1 papers
Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention (2020.findings-emnlp)

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Challenge: Existing approaches to generate answer summarization for medical questions are not straightforward to apply to the medical domain.
Approach: They propose an approach that utilizes graph convolution networks and question-focused dual attention for Chinese medical answer summarization.
Outcome: The proposed model generates more coherent and informative summaries compared with baseline models.

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