Developing an argument annotation scheme based on a semantic classification of arguments Article Swipe

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Argumentative Operationalization Argument (complex analysis) Computer science Scheme (mathematics) Annotation Natural language processing Artificial intelligence Semantics (computer science) Classification scheme Semantic similarity Information retrieval Linguistics Epistemology Mathematics Programming language Chemistry Mathematical analysis Biochemistry Philosophy

Lea Kawaletz , Heidrun Dorgeloh , Stefan Conrad , Zeljko Bekcic ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.18653/v1/2022.sigdial-1.6 · OA: W4389009546

Corpora of argumentative discourse are commonly analyzed in terms of argumentative units, consisting of claims and premises. Both argument detection and classification are complex discourse processing tasks. Our paper introduces a semantic classification of arguments that can help to facilitate argument detection. We report on our experiences with corpus annotations using a function-based classification of arguments and a procedure for operationalizing the scheme by using semantic templates.