文章基本信息

标题：A Study of the Morphosemantic Relationship in Medline
本地全文：下载
作者：W. John Wilbur ; Larry Smith
期刊名称：The Open Information Systems Journal
电子版ISSN：1874-1339
出版年度：2013
卷号：7
期号：1
页码：1-12
DOI：10.2174/1874133920131121001
出版社：Bentham open
摘要：
Morphological analysis as applied to English has generally involved the study of rules for inflections and derivations. Recent work has attempted to derive such rules from automatic analysis of corpora. Here we study similar issues, but in the context of the biological literature. We introduce a new approach which allows us to assign probabilities of the semantic relatedness of pairs of tokens that occur in text in consequence of their relatedness as character strings. Our analysis is based on over 84 million sentences from the MEDLINE database, over 2.3 million token types that occur in MEDLINE, and enables us to identify over 36 million token type pairs which have assigned probabilities of semantic relatedness of at least 0.7 based on their similarity as strings. The quality of these predictions is tested by two different manual evaluations and found to be good.