Improving spaCy dependency annotation and PoS tagging web service using independent NER services
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...
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| Format: | Article |
| Language: | English |
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BioMed Central
2019-06-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gi-2019-17-2-e21.pdf |
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| _version_ | 1832573922109816832 |
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| author | Nico Colic Fabio Rinaldi |
| author_facet | Nico Colic Fabio Rinaldi |
| author_sort | Nico Colic |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bbe2e5dd894247ed846cf562e4feaacc |
| institution | Kabale University |
| issn | 2234-0742 |
| language | English |
| publishDate | 2019-06-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-bbe2e5dd894247ed846cf562e4feaacc2025-02-02T02:16:42ZengBioMed CentralGenomics & Informatics2234-07422019-06-0117210.5808/GI.2019.17.2.e21558Improving spaCy dependency annotation and PoS tagging web service using independent NER servicesNico Colic0Fabio Rinaldi1 Institute of Computational Linguistics, University of Zurich, CH-8050 Zurich, Switzerland Institute of Computational Linguistics, University of Zurich, CH-8050 Zurich, SwitzerlandDependency 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.http://genominfo.org/upload/pdf/gi-2019-17-2-e21.pdfdependency parsingnamed entity recognitionnatural language processing |
| spellingShingle | Nico Colic Fabio Rinaldi Improving spaCy dependency annotation and PoS tagging web service using independent NER services Genomics & Informatics dependency parsing named entity recognition natural language processing |
| title | Improving spaCy dependency annotation and PoS tagging web service using independent NER services |
| title_full | Improving spaCy dependency annotation and PoS tagging web service using independent NER services |
| title_fullStr | Improving spaCy dependency annotation and PoS tagging web service using independent NER services |
| title_full_unstemmed | Improving spaCy dependency annotation and PoS tagging web service using independent NER services |
| title_short | Improving spaCy dependency annotation and PoS tagging web service using independent NER services |
| title_sort | improving spacy dependency annotation and pos tagging web service using independent ner services |
| topic | dependency parsing named entity recognition natural language processing |
| url | http://genominfo.org/upload/pdf/gi-2019-17-2-e21.pdf |
| work_keys_str_mv | AT nicocolic improvingspacydependencyannotationandpostaggingwebserviceusingindependentnerservices AT fabiorinaldi improvingspacydependencyannotationandpostaggingwebserviceusingindependentnerservices |