Gene Ontology synonym generation rules lead to increased performance in biomedical concept recognition.

ABSTRACT:

Background

Gene Ontology (GO) terms represent the standard for annotation and representation of molecular functions, biological processes and cellular compartments, but a large gap exists between the way concepts are represented in the ontology and how they are expressed in natural language text. The construction of highly specific GO terms is formulaic, consisting of parts and pieces from more simple terms.

Results

We present two different types of manually generated rules to help capture the variation of how GO terms can appear in natural language text. The first set of rules takes into account the compositional nature of GO and recursively decomposes the terms into their smallest constituent parts. The second set of rules generates derivational variations of these smaller

SUBMITTER: Funk CS 

PROVIDER: S-EPMC5018193 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature