Linking chemical and disease entities to ontologies by integrating PageRank with extracted relations from literature.

ABSTRACT:

Background

Named Entity Linking systems are a powerful aid to the manual curation of digital libraries, which is getting increasingly costly and inefficient due to the information overload. Models based on the Personalized PageRank (PPR) algorithm are one of the state-of-the-art approaches, but these have low performance when the disambiguation graphs are sparse.

Findings

This work proposes a Named Entity Linking framework designated by Relation Extraction for Entity Linking (REEL) that uses automatically extracted relations to overcome this limitation. Our method builds a disambiguation graph, where the nodes are the ontology candidates for the entities and the edges are added according to the relations established in the text, which the method extracts automatically. The P

SUBMITTER: Ruas P 

PROVIDER: S-EPMC7507273 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature