Building a Large-scale Commercial NLG System for an EMR

Building a Large-scale Commercial NLG System for an EMR
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为 EMR 构建大规模商业 NLG 系统

DOI:
10.3115/1708322.1708351
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发表时间:
2008
影响因子:
9.3
通讯作者:
M. D. Harris
M. D. Harris
中科院分区:
计算机科学3区
文献类型:
--
作者:
M. D. Harris

文献摘要

被引文献

相似文献

自然语言生成技术已经足够成熟,可以在商业环境中实现NLG系统,但情况与建立研究系统有很大不同。本文描述了为电子病历系统构建商业NLG组件的挑战和回报。虽然由此产生的NLG系统已经成功完成,但如果事先知道这些问题,通往成功的道路可能会更顺利一些。
Natural language generation technology is mature enough for implementing an NLG system in a commercial environment, but the circumstances differ significantly from building a research system. This paper describes the challenges and rewards of building a commercial NLG component for an electronic medical records system. While the resulting NLG system has been successfully completed, the path to that success could have been somewhat smoother knowing the issues in advance.