SPACCC_POS-TAGGER

Name: SPACCC_POS-TAGGER
Keywords: http://id.loc.gov/authorities/subjects/sh88002425, http://id.loc.gov/authorities/subjects/sh85083064, PlanTL, NLP preprocessing, Part-of-Speech, Spanish, Corpus, Medical, Clinical Cases,

Soares, Felipe; Gonzalez-Agirre, Aitor; Krallinger, Martin

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ZENODO

Software . 2019

License: https://www.gnu.org/licenses/gpl-3.0-standalone.html

Data sources: Datacite

ZENODO

Software . 2019

License: https://www.gnu.org/licenses/gpl-3.0-standalone.html

Data sources: Datacite

SPACCC_POS-TAGGER

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Apr 2019 Spanish Publisher:Zenodo

Authors: Soares, Felipe; Gonzalez-Agirre, Aitor; Krallinger, Martin;

doi: 10.5281/zenodo.2621286 , 10.5281/zenodo.1492604

SPACCC_POS-TAGGER

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Abstract

{"references": ["Villegas M, de la Pe\u00f1a S, Intxaurrondo A, Santamaria J, Krallinger M. Esfuerzos para fomentar la miner\u00eda de textos en biomedicina m\u00e1s all\u00e1 del ingl\u00e9s: el plan estrat\u00e9gico nacional espa\u00f1ol para las tecnolog\u00edas del lenguaje. Procesamiento del Lenguaje Natural. 2017(59):141-4."]}

[PlanTL/medicine/document annotation/NLP preprocessing/part-of-speech] Part-of-Speech Tagger for medical domain corpus in Spanish based on FreeLing. This resource is promoted by the Plan de Impulso de las Tecnologías del Lenguaje de la Agenda Digital (Plan TL). Copyright (c) 2019 Secretaría de Estado para el Avance Digital

Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).

Keywords

http://id.loc.gov/authorities/subjects/sh88002425, http://id.loc.gov/authorities/subjects/sh85083064, PlanTL, NLP preprocessing, Part-of-Speech, Spanish, Corpus, Medical, Clinical Cases,

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Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average