Making Implicit Premises Explicit in Logical Understanding of Enthymemes
Real-world arguments in text and dialogues are normally enthymemes (i.e. some of their premises and/or claims are implicit). Natural language processing (NLP) methods for handling enthymemes can potentially identify enthymemes in text but they do not decode their underlying logic, whereas logic-based approaches for handling them assume a knowledgebase with sufficient formulae that can be used to decode them via abduction. There is therefore a lack of a systematic method for translating textual components of an enthymeme into a logical argument and generating the logical formulae required for their decoding, and thereby showing logical entailment. To address this, we propose a pipeline tha...
| Authors | Xuyao Feng, Anthony Hunter |
|---|---|
| Primary category | cs.CL |
| Published | 6 March 2026 |
| Last updated at source | 19 August 2026 |
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