NLAS-multi: A multilingual corpus of automatically generated Natural Language Argumentation Schemes

Some of the major limitations identified in the areas of argument mining, argument generation, and natural language argument analysis are related to the complexity of annotating argumentatively rich data, the limited size of these corpora, and the constraints that represent the different languages and domains in which these data is annotated. To address these limitations, in this paper we present the following two contributions: an effective methodology for the automatic generation of natural language arguments in different topics and languages, and the largest publicly available corpus of Natural Language Argumentation Schemes available to date.