Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add filters








Language
Year range
1.
Genomics & Informatics ; : e21-2019.
Article in English | WPRIM | ID: wpr-763803

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.


Subject(s)
Natural Language Processing
SELECTION OF CITATIONS
SEARCH DETAIL