The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text.
Ontology highlight
ABSTRACT: The exponential growth of the biomedical literature is making the need for efficient, accurate text-mining tools increasingly clear. The identification of named biological entities in text is a central and difficult task. We have developed an efficient algorithm and implementation of a dictionary-based approach to named entity recognition, which we here use to identify names of species and other taxa in text. The tool, SPECIES, is more than an order of magnitude faster and as accurate as existing tools. The precision and recall was assessed both on an existing gold-standard corpus and on a new corpus of 800 abstracts, which were manually annotated after the development of the tool. The corpus comprises abstracts from journals selected to represent many taxonomic groups, which gives insight
SUBMITTER: Pafilis E
PROVIDER: S-EPMC3688812 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
ACCESS DATA