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Improving spaCy dependency annotation and PoS tagging web service using independent NER services


Colic, Nicola; Rinaldi, Fabio (2019). Improving spaCy dependency annotation and PoS tagging web service using independent NER services. Genomics & Informatics, 17(2):e21.

Abstract

Dependency parsing is often used as a component in many text analysis pipelines. However, performance, especially in specialized domains, suffers from the presence of complex terminology. Our hypothesis is that including named entity annotations can improve the speed and quality of dependency parses. As part of BLAH5, we built a web service delivering improved dependency parses by taking into account named entity annotations obtained by third party services. Our evaluation shows improved results and better speed.

Abstract

Dependency parsing is often used as a component in many text analysis pipelines. However, performance, especially in specialized domains, suffers from the presence of complex terminology. Our hypothesis is that including named entity annotations can improve the speed and quality of dependency parses. As part of BLAH5, we built a web service delivering improved dependency parses by taking into account named entity annotations obtained by third party services. Our evaluation shows improved results and better speed.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
08 Research Priority Programs > Digital Society Initiative
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Scopus Subject Areas:Life Sciences > Genetics
Life Sciences > Ecology, Evolution, Behavior and Systematics
Health Sciences > Health Informatics
Language:English
Date:June 2019
Deposited On:13 Jan 2020 10:40
Last Modified:26 Jan 2022 23:33
Publisher:Korea Genome Organization
ISSN:2234-0742
OA Status:Gold
Publisher DOI:https://doi.org/10.5808/GI.2019.17.2.e21
  • Content: Published Version
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)