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F1000Research, F1000Research, (3), p. 96, 2014

DOI: 10.12688/f1000research.3216.1

F1000Research, F1000Research

DOI: 10.12688/f1000research.3456

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An analysis on the entity annotations in biological corpora

Journal article published in 2014 by Mariana Neves ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Collection of documents annotated with semantic entities and relationships are crucial resources to support development and evaluation of text mining solutions for the biomedical domain. Here I present an overview of 36 corpora and show an analysis on the semantic annotations they contain. Annotations for entity types were classified into six semantic groups and an overview on the semantic entities which can be found in each corpus is shown. Results show that while some semantic entities, such as genes, proteins and chemicals are consistently annotated in many collections, corpora available for diseases, variations and mutations are still few, in spite of their importance in the biological domain.