A method for named entity normalization in biomedical articles: application to diseases and plants.

ABSTRACT:

Background

In biomedical articles, a named entity recognition (NER) technique that identifies entity names from texts is an important element for extracting biological knowledge from articles. After NER is applied to articles, the next step is to normalize the identified names into standard concepts (i.e., disease names are mapped to the National Library of Medicine's Medical Subject Headings disease terms). In biomedical articles, many entity normalization methods rely on domain-specific dictionaries for resolving synonyms and abbreviations. However, the dictionaries are not comprehensive except for some entities such as genes. In recent years, biomedical articles have accumulated rapidly, and neural network-based algorithms that incorporate a large amount of unlabeled data have s

SUBMITTER: Cho H 

PROVIDER: S-EPMC5640957 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature