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Software . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Software . 2019
License: http://opensource.org/licenses/MIT
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ZENODO
Software . 2018
License: https://opensource.org/licenses/MIT
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Claim

NegEx-MES

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Dec 2018 Spanish Publisher:Zenodo
Authors: Sanamaría, Jesús;
Code repository: https://github.com/PlanTL/NegEx-MES/tree/v1.0.1

doi: 10.5281/zenodo.2542567 , 10.5281/zenodo.2159627 , 10.5281/zenodo.2159626

Abstract

[PlanTL/medicine/document annotation/negation] A system for negation detection in Spanish clinical texts based on Wendy Chapman's NegEx algorithm. It allows determining if a certain term (i.e. a word or group of words) is negated or not, and, if so, the negation word(s). Copyright (c) 2019 Secretaría de Estado para el Avance Digital

{"references": ["Santamar\u00eda J, Krallinger M. Construcci\u00f3n de recursos terminol\u00f3gicos m\u00e9dicos para el espa\u00f1ol: el sistema de extracci\u00f3n de t\u00e9rminos CUTEXT y los repositorios de t\u00e9rminos biom\u00e9dicos. Procesamiento del Lenguaje Natural. 2018 Sep 1;61."]}

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

Keywords

http://id.loc.gov/authorities/subjects/sh88002425, Corpus annotation, Medicine, negation, PlanTL, Corpus annotation, Medicine, negation, http://id.loc.gov/authorities/subjects/sh85083064

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selected citations
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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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