Aronson A R
National Library of Medicine, Bethesda, MD 20894, USA.
Proc AMIA Annu Fall Symp. 1996:373-7.
Accounting for textual variation in the documents and queries processed by information retrieval systems is considered essential for achieving good retrieval. Recent research has called into question several of the techniques used to support this endeavor. This paper reports on experiments with a concept based information retrieval system which relies on a program called MetaMap to account for textual variation in the process of mapping biomedical text such as MEDLINE bibliographic citations to the UMLS Metathesaurus. The experiments confirm that the effort expended in handling textual variation is well-spent for at least one type of concept based information retrieval.
信息检索系统处理的文档和查询中的文本变化被认为对于实现良好的检索至关重要。最近的研究对用于支持这一努力的几种技术提出了质疑。本文报告了一个基于概念的信息检索系统的实验，该系统依赖于一个名为MetaMap的程序，在将生物医学文本（如MEDLINE书目引文）映射到UMLS元词表的过程中处理文本变化。实验证实，在处理文本变化方面所付出的努力对于至少一种基于概念的信息检索来说是值得的。
