NEMO: Extraction and normalization of organization names from PubMed affiliations.

ABSTRACT:

Background

Today, there are more than 18 million articles related to biomedical research indexed in MEDLINE, and information derived from them could be used effectively to save the great amount of time and resources spent by government agencies in understanding the scientific landscape, including key opinion leaders and centers of excellence. Associating biomedical articles with organization names could significantly benefit the pharmaceutical marketing industry, health care funding agencies and public health officials and be useful for other scientists in normalizing author names, automatically creating citations, indexing articles and identifying potential resources or collaborators. Large amount of extracted information helps in disambiguating organization names using machine-le

SUBMITTER: Jonnalagadda SR 

PROVIDER: S-EPMC2990275 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature