Intrinsic Quality Assessment of Arguments
Henning Wachsmuth, Till Werner
Abstract
Several quality dimensions of natural language arguments have been investigated. Some are likely to be reflected in linguistic features (e.g., an argument's arrangement), whereas others depend on context (e.g., relevance) or topic knowledge (e.g., acceptability). In this paper, we study the intrinsic computational assessment of 15 dimensions, i.e., only learning from an argument's text.
Topics & Concepts
Argument (complex analysis)SubjectivityRhetorical questionContext (archaeology)Quality (philosophy)Relevance (law)Computer scienceNatural language processingFeature (linguistics)Artificial intelligenceNatural languageNatural (archaeology)LinguisticsNatural language understandingEpistemologyPsychologyCognitive psychologyPhilosophyPolitical scienceHistoryArchaeologyLawChemistryBiochemistryNatural Language Processing TechniquesTopic ModelingSoftware Engineering Research