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Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ...
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Abstract:
The IMPRESSIONS section of a radiology report about an imaging study is a summary of the radiologist's reasoning and conclusions, and it also aids the referring physician in confirming or excluding certain diagnoses. A cascade of tasks are required to automatically generate an abstractive summary of the typical information-rich radiology report. These tasks include acquisition of salient content from the report and generation of a concise, easily consumable IMPRESSIONS section. Prior research on radiology report summarization has focused on single-step end-to-end models -- which subsume the task of salient content acquisition. To fully explore the cascade structure and explainability of radiology report summarization, we introduce two innovations. First, we design a two-step approach: extractive summarization followed by abstractive summarization. Second, we additionally break down the extractive part into two independent tasks: extraction of salient (1) sentences and (2) keywords. Experiments on a publicly ... : Accepted at 60th Annual Meeting of the Association for Computational Linguistics 2022 Main Conference ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2203.08257 https://dx.doi.org/10.48550/arxiv.2203.08257
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A Transfer Learning Method for Detecting Alzheimer's Disease Based on Speech and Natural Language Processing
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In: Front Public Health (2022)
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The Nonlinear and Gender-Related Relationships of Face Attractiveness and Typicality With Perceived Trustworthiness
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In: Front Psychol (2021)
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Cross‐cultural validation of the work functioning impairment scale (WFun) among Japanese, English, and Chinese versions using Rasch analysis
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A study of genre changes and privileged pedagogic identity in teaching contest discourse
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A Study of Chinese Undergraduates’ MI Distribution in EFL Class
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In: English Language Teaching; Vol 1, No 1 (2008); P75 (2009)
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