Two biomedical sublanguages: a description based on the theories of Zellig Harris

Two biomedical sublanguages: a description based on the theories of Zellig Harris
复制标题

DOI:
10.1016/s1532-0464(03)00012-1
复制
发表时间:
2002-08-01
影响因子:
4.5
通讯作者:
Rzhetsky, A
Rzhetsky, A
中科院分区:
医学3区
文献类型:
--
作者:
Friedman, C;Kra, P;Rzhetsky, A

文献摘要

被引文献

相似文献

自然语言处理(NLP)系统已经被开发来提供对生物医学领域中以自然语言文本形式可用的大量数据和知识的访问。这些NLP系统很有价值,因为它们可以编码和积累文本中的信息,以便其他自动化流程可以使用这些信息来改善患者护理以及我们对疾病过程和治疗的理解。Zellig Harris提出的子语言理论为专业领域的自然语言处理奠定了基础。他假设,信息内容和结构形成了一种专门的语言,可以用亚语言语法的形式来描述。然后,语言处理器可以使用语法来捕获和编码文本中的突出信息和关系。本文简要概述了他的语言和亚语言理论。此外,我们总结了我们以前的研究,这是与我们开发的两个不同的生物医学领域的子语言语法。这些语法说明了哈里斯的理论如何为生物医学领域的语言处理系统的发展提供了基础。讨论的两个领域及其相关的子语言是:临床领域,其中文本由患者报告组成,生物分子领域,其中文本由完整的期刊文章组成。(C)2003 Elsevier Science(美国)。All rights reserved.
Natural language processing (NLP) systems have been developed to provide access to the tremendous body of data and knowledge that is available in the biomedical domain in the form of natural language text. These NLP systems are valuable because they can encode and amass the information in the text so that it can be used by other automated processes to improve patient care and our understanding of disease processes and treatments. Zellig Harris proposed a theory of sublanguage that laid the foundation for natural language processing in specialized domains. He hypothesized that the informational content and structure form a specialized language that can be delineated in the form of a sublanguage grammar. The grammar can then be used by a language processor to capture and encode the salient information and relations in text. In this paper, we briefly summarize his language and sublanguage theories. In addition, we summarize our prior research, which is associated with the sublanguage grammars we developed for two different biomedical domains. These grammars illustrate how Harris' theories provide a basis for the development of language processing systems in the biomedical domain. The two domains and their associated sublanguages discussed are: the clinical domain, where the text consists of patient reports, and the biomolecular domain, where the text consists of complete journal articles. (C) 2003 Elsevier Science (USA). All rights reserved.