PMID: 11928487Apr 4, 2002Paper

Mining MEDLINE: abstracts, sentences, or phrases?

Pacific Symposium on Biocomputing
J DingE Wurtele

Abstract

A growing body of works address automated mining of biochemical knowledge from digital repositories of scientific literature, such as MEDLINE. Some of these works use abstracts as the unit of text from which to extract facts. Others use sentences for this purpose, while still others use phrases. Here we compare abstracts, sentences, and phrases in MEDLINE using the standard information retrieval performance measures of recall, precision, and effectiveness, for the task of mining interactions among biochemical terms based on term co-occurrence. Results show statistically significant differences that can impact the choice of text unit.

Citations

Jun 6, 2018·Bioinformatics·John M Giorgi, Gary D Bader
May 5, 2010·BMC Research Notes·Michael A BauerDaniel Berleant
Jul 27, 2021·Briefings in Bioinformatics·Bosheng SongXiangxiang Zeng
Oct 11, 2021·Journal of Biomedical Informatics·Yijing LiQinghua Zheng

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