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ZENODO
Dataset . 2023
License: CC BY NC SA
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY NC SA
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
Dataset . 2023
License: CC BY NC SA
Data sources: Datacite
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NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes

Research datakeyboard_double_arrow_right Dataset 20 Sep 2023 English Publisher:ZenodoFunded by:EC | TITAN
Authors: Ruiz-Dolz, Ramon; Joaquin Taverner; Lawrence, John; Reed, Chris;

doi: 10.5281/zenodo.8364002 , 10.5281/zenodo.8364001

NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes

Abstract

The multilingual corpus of natural language argumentation schemes (NLAS-multi) consists of 3,810 natural language argumentation schemes of which 1,893 are in English and 1,917 in Spanish. It has a total of 253,516 words distributed in 118,493 words in English and 135,023 words in Spanish. In terms of inferences, our corpus has a total of 7,964 (3,949 in English and 4,015 in Spanish). Furthermore, the NLAS-multi corpus contains a total of 23,781 conflict relations between arguments in the same topic.

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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.
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This indicator 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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