Norm Based Causal Reasoning in Textual Corpus
Farid Nouioua
Abstract
Truth based entailments are not sufficient for a good comprehension of NL. In fact, it can not deduce implicit information necessary to understand a text. On the other hand, norm based entailments are able to reach this goal. This idea was behind the development of Frames (Minsky 75) and Scripts (Schank 77, Schank 79) in the 70's. But these theories are not formalized enough and their adaptation to new situations is far from being obvious. In this paper, we present a reasoning system which uses norms in a causal reasoning process in order to find the cause of an accident from a text describing it.
Create a lesson
Related papers
Towards a Belief-Based World Model for LLM Agents
Shubham Kumar, Harshit Kumar, Narendra Ahuja et al.
mimeo: Compiling Public Expert Corpora into Agent Skills and Testing What Transfers
Timothy Kassis
Conversation Coach: A Voice-enabled AI System that Helps Practice Difficult Workplace Conversations
Fanyou Wu, Suraj Maharjan, Ainur Yessenalina et al.
SAGE: State-Grounded, Abstention-Aware Evaluation of Task-Oriented Dialogue Agents
Rayan Khoury, Shih-Yao Lin, Pratyush Mishra
SpecMind: Enabling Spectrum Intelligence via Multi-Agent Hybrid Retrieval-Augmented Generation
Songwei Dong, Bingyan Lu, Makayla Kienlen et al.
RestoreBench: Can AI Agents Restore Power Flow Convergence?
Riccardo Mansutti, Andrea Pomarico, Robert Jakob et al.