Graduate School and Research Center in Digital Sciences

NoDE: A benchmark of natural language arguments

Cabrio, Elena; Villata, Serena

COMMA 2014, 5th International Conference on Computational Models of Argument, September 9-12, 2014, Scottish Highlands, UK

In the latest years, natural models of argumentation and argument mining are becoming more and more important topics in the argumentation community. Given this tendency, there is the need to produce standard datasets on which natural language approaches to argumentation can be evaluated. In this paper, we present NoDE, a benchmark of natural language arguments composed of three datasets, built from different textual sources and annotated highlighting positive and negative connections between arguments.

Document Bibtex

Title:NoDE: A benchmark of natural language arguments
Keywords:computational linguistics, abstract bipolar argumentation, corpora
Type:Poster / Demo
Language:English
City: Scottish Highlands
Country:UNITED KINGDOM
Date:
Department:Data Science
Eurecom ref:4455
Copyright: © IOS Press. Personal use of this material is permitted. The definitive version of this paper was published in COMMA 2014, 5th International Conference on Computational Models of Argument, September 9-12, 2014, Scottish Highlands, UK and is available at :
Bibtex: @poster / demo{EURECOM+4455, year = {2014}, title = {{N}o{DE}: {A} benchmark of natural language arguments}, author = {{C}abrio, {E}lena and {V}illata, {S}erena }, number = {EURECOM+4455}, month = {09}, institution = {Eurecom} address = { {S}cottish {H}ighlands, {UNITED} {KINGDOM}}, url = {http://www.eurecom.fr/publication/4455} }
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