McCray A T, Aronson A R, Browne A C, Rindflesch T C, Razi A, Srinivasan S
Computer Science Branch, National Library of Medicine, Bethesda, MD 20894.
Bull Med Libr Assoc. 1993 Apr;81(2):184-94.
This paper describes efforts to provide access to the free text in biomedical databases. The focus of the effort is the development of SPECIALIST, an experimental natural language processing system for the biomedical domain. The system includes a broad coverage parser supported by a large lexicon, modules that provide access to the extensive Unified Medical Language System (UMLS) Knowledge Sources, and a retrieval module that permits experiments in information retrieval. The UMLS Metathesaurus and Semantic Network provide a rich source of biomedical concepts and their interrelationships. Investigations have been conducted to determine the type of information required to effect a map between the language of queries and the language of relevant documents. Mappings are never straightforward and often involve multiple inferences.
本文描述了为获取生物医学数据库中的自由文本所做的努力。这项工作的重点是开发SPECIALIST,这是一个用于生物医学领域的实验性自然语言处理系统。该系统包括一个由大型词典支持的广泛覆盖的解析器、提供对广泛的统一医学语言系统(UMLS)知识源访问的模块,以及一个允许进行信息检索实验的检索模块。UMLS元词表和语义网络提供了丰富的生物医学概念及其相互关系的来源。已经进行了调查,以确定实现查询语言与相关文档语言之间映射所需的信息类型。映射从来都不是直接的,而且往往涉及多个推理。