ArticleInternational journal of environmental research and public health2020
A Gated Dilated Convolution with Attention Model for Clinical Cloze-Style Reading Comprehension.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Stochastic Dilated Residual Ghost Model for Breast Cancer Detection.Journal of digital imaging · 2023Article
- Deep Learning Model for the Detection of Real Time Breast Cancer Images Using Improved Dilation-Based Method.Diagnostics (Basel, Switzerland) · 2022Article
- ALBERT-Based Self-Ensemble Model With Semisupervised Learning and Data Augmentation for Clinical Semantic Textual Similarity Calculation: Algorithm Validation Study.JMIR medical informatics · 2021Article
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4 authors.
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Abstract
The machine comprehension research of clinical medicine has great potential value in practical application, but it has not received sufficient attention and many existing models are very time consuming for the cloze-style machine reading comprehension. In this paper, we study the cloze-style machine reading comprehension in the clinical medical field and propose a Gated Dilated Convolution with Attention (GDCA) model, which consists of a gated dilated convolution module and an attention mechanism. Our model has high parallelism and is capable of capturing long-distance dependencies. On the CliCR data set, our model surpasses the present best model on several metrics and obtains state-of-the-art result, and the training speed is 8 times faster than that of the best model.
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