Abstract
This paper introduces the architecture of FRESCO, an integrated inference mechanism and knowledge representation suited to a cognitive model of natural language understanding processes. A particular type of disambiguation inference known as concretion which occurs in language interpretation is examined within this framework. I put forth some principles resolving several outstanding issues surrounding concretion inferences, and describe a technique called probabilistic map passing which is employed within FRESCO to implement these principles.
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© 1987 Springer-Verlag Berlin Heidelberg
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Wu, D. (1987). Concretion Inferences in Natural Language Understanding. In: Morik, K. (eds) GWAI-87 11th German Workshop on Artifical Intelligence. Informatik-Fachberichte, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73005-4_8
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DOI: https://doi.org/10.1007/978-3-642-73005-4_8
Publisher Name: Springer, Berlin, Heidelberg
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