Abstract. The identification of consistent sets of arguments is one of the most important concerns in the development of computational models of argument. Such extensions drive the...
argumentation frameworks have played a major role as a way of understanding argumentbased inference, resulting in different argumentbased semantics. In order to make such semantic...
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to...
Abstract. We propose an abstract argumentation theory whose dynamics is captured by the application of belief revision concepts. The theory is deemed as abstract because both the u...
Despite its substantial coverage, NomBank does not account for all withinsentence arguments and ignores extrasentential arguments altogether. These arguments, which we call implic...