Claims are the building blocks of argu- ments and the reasons underpinning opin- ions, thus analyzing claims is important for both argumentation mining and opinion mining. We propose a framework for rep- resenting claims as microstructures, which express the beliefs, judgments, and poli- cies about the relations between domain- specific concepts. In a proof-of-concept study, we manually build microstructures for over 800 claims extracted from an on- line debate. We test the so-obtained mi- crostructures on the task of claim stance classification, achieving considerable im- provements over text-based baselines.
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