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doi: 10.3233/aac-160005
Illocutionary structure in real language use is intricate and complex, and nowhere more so than in argument and debate. Identifying this structure without any theoretical scaffolding is extremely challenging even for humans. New work in Inference Anchoring Theory has provided significant advances in such scaffolding which are helping to allow the analytical challenges of argumentation structure to be tackled. This paper demonstrates how these advances can also pave the way to automated and semi-automated research in understanding the structure of natural debate.
argumentative dialogue, illocutionary force, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Inference anchoring theory, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Argument mining, Argumentative dialogue, Logique en informatique, Illocutionary forc, [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], Informatique et langage, inference anchoring theory, Intelligence artificielle, Apprentissage, 400, 004
argumentative dialogue, illocutionary force, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Inference anchoring theory, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Argument mining, Argumentative dialogue, Logique en informatique, Illocutionary forc, [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], Informatique et langage, inference anchoring theory, Intelligence artificielle, Apprentissage, 400, 004
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