Literature DB >> 26262125

Automatically Expanding the Synonym Set of SNOMED CT using Wikipedia.

Daniel R Schlegel1, Chris Crowner1, Peter L Elkin1.   

Abstract

Clinical terminologies and ontologies are often used in natural language processing/understanding tasks as a method for semantically tagging text. One ontology commonly used for this task is SNOMED CT. Natural language is rich and varied: many different combinations of words may be used to express the same idea. It is therefore essential that ontologies and terminologies have a rich set of synonyms. One source of synonyms is Wikipedia. We examine methods for aligning concepts in SNOMED CT with articles in Wikipedia so that newly-found synonyms may be added to SNOMED CT. Our experiments show promising results and provide guidance to researchers who wish to use Wikipedia for similar tasks.

Mesh:

Year:  2015        PMID: 26262125

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  HTP-NLP: A New NLP System for High Throughput Phenotyping.

Authors:  Daniel R Schlegel; Chris Crowner; Frank Lehoullier; Peter L Elkin
Journal:  Stud Health Technol Inform       Date:  2017

2.  Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes.

Authors:  Rui Zhang; Jialin Liu; Yong Huang; Miye Wang; Qingke Shi; Jun Chen; Zhi Zeng
Journal:  BMC Med Inform Decis Mak       Date:  2017-05-02       Impact factor: 2.796

  2 in total

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