A logic-based calculus of events
New Generation Computing
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Solving the frame problem: a mathematical investigation of the common sense law of inertia
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Some Alternative Formulations of the Event Calculus
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Reasoning Web
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AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
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IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Artificial intelligence today
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COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Potassco: The Potsdam Answer Set Solving Collection
AI Communications - Answer Set Programming
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If not all temporal information is available in a text, humans usually use additional background knowledge to answer questions about the text. In this paper, we first investigate how humans answer this kind of questions and then suggest two general strategies that we can use to answer these questions automatically in a controlled natural language context. We show how background knowledge about events and their effects can be made explicit in a controlled natural language and how this additional information can be translated together with the textual information into a formal notation for automated reasoning. For this purpose, we introduce an Answer Set Programming based version of the Event Calculus and use this reasoning framework as a starting point for answering questions over the formalised textual information.