Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
Possible Worlds, Artificial Intelligence, and Narrative Theory
Possible Worlds, Artificial Intelligence, and Narrative Theory
In-Depth Understanding: A Computer Model of Integrated Processing for Narrative Comprehension
In-Depth Understanding: A Computer Model of Integrated Processing for Narrative Comprehension
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Wide-coverage semantic representations from a CCG parser
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Wide-coverage efficient statistical parsing with ccg and log-linear models
Computational Linguistics
An integrated reasoning approach to moral decision-making
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
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Story understanding requires a degree of knowledge and expressiveness beyond the current state of natural language understanding. We present an approach that addresses these needs, using a large-scale knowledge base, simplified English grammar and a combination of compositional frame semantics and abductive reasoning. This in turn raises a significant challenge disambiguating complex semantic structures, which requires a pragmatics of narrative for constraint and guidance. We present a theory of narrative functions that serve as a heuristic for relevance in narrative, and provide evidence that this heuristic is effective for disambiguation that leads to consistent understanding.