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- Title
Argument Mining in the October 1, 2017 Referendum.
- Authors
Esteve, Marcos; Casacuberta, Francisco; Rosso, Paolo
- Abstract
Argument mining allows, through software tools, to obtain which are the arguments expressed by the authors in a given text. This article aims to make an analysis of the arguments expressed by users on Twitter in relation to the referendum of October 1, 2017 using the MultiStanceCat dataset provided in the shared task organized at IberEval 2018. Since the tools of argumentation mining work mostly in English, it was necessary to build a neural translation system with post-editing that allows to translate of tweets from Spanish and Catalan to English. The results of argumentation mining on the translated tweets have shown to obtain a minimum percentage of argumentation in all the communities.
- Subjects
REFERENDUM; ARGUMENT; SOFTWARE development tools; MACHINE translating; DEBATE; TEXT mining
- Publication
Procesamiento del Lenguaje Natural, 2020, Issue 65, p59
- ISSN
1135-5948
- Publication type
Article
- DOI
10.26342/2020-65-7