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

Genomics Inform

Institute of Computational Linguistics, University of Zurich, CH-8050 Zurich, Switzerland.

Published: June 2019

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808626PMC
http://dx.doi.org/10.5808/GI.2019.17.2.e21DOI Listing

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