The structure-mapping engine: algorithm and examples
Artificial Intelligence
Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
Dynamic Case Creation and Expansion for Analogical Reasoning
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Companion Cognitive Systems: Design Goals and Lessons Learned So Far
IEEE Intelligent Systems
Multimodal knowledge capture from text and diagrams
Proceedings of the fifth international conference on Knowledge capture
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
An analogy ontology for integrating analogical processing and first-principles reasoning
IAAI'02 Proceedings of the 14th conference on Innovative applications of artificial intelligence - Volume 1
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Analogy is heavily used in written explanations, particularly in instructional texts. We introduce the concept of analogical dialogue acts (ADAs) which represent the roles utterances play in instructional analogies. We describe a catalog of such acts, based on ideas from structure-mapping theory. We focus on the operations that these acts lead to while understanding instructional texts, using the Structure-Mapping Engine (SME) and dynamic case construction in a computational model. We test this model on a small corpus of instructional analogies, expressed in simplified English, which were understood via a semiautomatic natural language system using analogical dialogue acts. The model enabled a system to answer questions after understanding the analogies that it was not able to answer without them.