利用统一医学语言系统知识扩展自然语言解析器。
Extending a natural language parser with UMLS knowledge.
作者信息
McCray A T
机构信息
National Library of Medicine, Bethesda, Maryland 20894.
出版信息
Proc Annu Symp Comput Appl Med Care. 1991:194-8.
Over the past several years our research efforts have been directed toward the identification of natural language processing methods and techniques for improving access to biomedical information stored in computerized form. To provide a testing ground for some of these ideas we have undertaken the development of SPECIALIST, a prototype system for parsing and accessing biomedical text. The system includes linguistic and biomedical knowledge. Linguistic knowledge involves rules and facts about the grammar of the language. Biomedical knowledge involves rules and facts about the domain of biomedicine. The UMLS knowledge sources, Meta-1 and the Semantic Network, as well as the UMLS test collection, have recently contributed to the development of the SPECIALIST system.
在过去的几年里，我们的研究工作致力于识别自然语言处理方法和技术，以改善对以计算机形式存储的生物医学信息的访问。为了为其中一些想法提供一个测试平台，我们着手开发了SPECIALIST，这是一个用于解析和访问生物医学文本的原型系统。该系统包含语言和生物医学知识。语言知识涉及有关该语言语法的规则和事实。生物医学知识涉及有关生物医学领域的规则和事实。UMLS知识源、Meta-1和语义网络，以及UMLS测试集，最近都为SPECIALIST系统的开发做出了贡献。
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