We experiment with two recent contextualized word embedding methods (ELMo and BERT) in the context of open-domain argument search.
Fact-checking is a journalistic practice that compares a claim made publicly against trusted sources of facts.
Argumentation is arguably one of the central features of scientific language.
We address this task in an empirical manner by annotating 39 political debates from the last 50 years of US presidential campaigns, creating a new corpus of 29k argument components, labeled as premises and claims.
Common-sense argumentative reasoning is a challenging task that requires holistic understanding of the argumentation where external knowledge about the world is hypothesized to play a key role.
Argument Mining (AM) is a relatively recent discipline, which concentrates on extracting claims or premises from discourses, and inferring their structures.