Association measures for estimating semantic similarity and relatedness between biomedical concepts

作者：

Highlights：

• A comparison between UMLS Concept associations and term associations.

• A Method of concept expansion that exploits the UMLS hierarchy.

• State of the art semantic similarity and relatedness results acheived.

• Extensive analysis of parameters that affect performance.

• Introduction of the open-source UMLS::Association package.

摘要

•A comparison between UMLS Concept associations and term associations.•A Method of concept expansion that exploits the UMLS hierarchy.•State of the art semantic similarity and relatedness results acheived.•Extensive analysis of parameters that affect performance.•Introduction of the open-source UMLS::Association package.

论文关键词：Natural language processing,Association measures,Semantic similarity,Semantic relatedness

论文评审过程：Received 1 September 2017, Revised 8 March 2018, Accepted 24 August 2018, Available online 7 September 2018, Version of Record 1 February 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2018.08.006