Cross-evaluation of entity linking and disambiguation systems for clinical text annotation

Camilo Thorne, Stefano Faralli, Heiner Stuckenschmidt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper we study whether state-of-the-art techniques for multi-domain and multilingual entity linking can be ported to the clinical domain. To do so, we compare two known entity linking systems, BabelFly and TagMe, that leverage on Wikipedia and DBpedia, with the standard clinical semantic annotation and disambiguation system, MetaMap, over the SemRep clinical word sense disambiguation gold standard. We show that BabelFly and especially TagMe, while achieving decent precision on clinical annotation, outmatch MetaMap's F 1-score.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Semantic Systems
Subtitle of host publicationThe Linked Data Conference, SEMANTiCS 2016
EditorsAnna Fensel, Tassilo Pellegrini, Sebastian Hellmann, Amrapali Zaveri
PublisherAssociation for Computing Machinery
Pages169-172
Number of pages4
ISBN (Electronic)9781450347525
DOIs
StatePublished - Sep 12 2016
Externally publishedYes
Event12th International Conference on Semantic Systems, SEMANTiCS 2016 - Leipzig, Spain
Duration: Sep 13 2016Sep 14 2016

Publication series

NameACM International Conference Proceeding Series
Volume13-14-September-2016

Conference

Conference12th International Conference on Semantic Systems, SEMANTiCS 2016
Country/TerritorySpain
CityLeipzig
Period09/13/1609/14/16

Keywords

  • Clinical NLP
  • DBpedia
  • Entity linking
  • Semantic annotation

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