A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd

NAACL 2019 Tristan MillerMaria SukharevaIryna Gurevych

The study of argumentation and the development of argument mining tools depends on the availability of annotated data, which is challenging to obtain in sufficient quantity and quality. We present a method that breaks down a popular but relatively complex discourse-level argument annotation scheme into a simpler, iterative procedure that can be applied even by untrained annotators... (read more)

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