A Knowledge-based approach to understanding natural language

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dc.contributor.advisor Not Listed en_US
dc.contributor.author Huber, Bernard J., Jr.
dc.date.accessioned 2010-01-13T14:21:27Z
dc.date.available 2010-01-13T14:21:27Z
dc.date.issued 1991
dc.identifier.uri http://hdl.handle.net/1850/11053
dc.description.abstract Understanding a natural language requires knowledge about that language as a system of representation. Further, when the task is one of understanding an extended discourse, world knowledge is also required. This thesis explores some of the issues involved in representing both kinds of knowledge, and also makes an effort to arrive at some under standing of the relationship between the two. A part of this exploration involves an examination of some natural language understanding systems which have attempted to deal with extended discourse both in the form of stories and in the form of dialogues. The systems exam ined are heavily dependent on world knowledge. Another part of this exploration is an effort to build a dialogue system based on speech acts and practical argu ments, as they are described in "Recognizing Promises, Advice, Threats, and Warnings", a Masters Thesis presented to Rochester Institute of Technology, School of Computer Science and Technology, in 1986 by Kevin Donaghy. This dialogue system includes a deterministic syntactic parser, a semantic representation based on the idea of case frames, and a context interpreter that recognizes and represents groups of sentences as practical arguments. This Prolog implementation employs a frame package developed and described in "A Frame Virtual Machine in C-Prolog", a Masters Thesis presented to Rochester Institute of Technology, School of Computer Science and Technology, in 1987 by LeMora Hiss. While this automated dialogue system is necessarily limited in the domain that it recognizes, the opportunity it allows to build a mechanism and a system of representation brings with it a range of issues from the syntactic, through the semantic, to the contextual and the pragmatic. Here, the focus of inquiry came to settle in the semantic representa tion, where the relationship between knowledge about language and knowledge about the world seems to be naturally resident.
dc.language.iso en_US
dc.subject Natural language en_US
dc.subject Expert systems en_US
dc.subject.lcc QA76.9.N38 H82 1991
dc.subject.lcsh Natural language processing (Computer science)
dc.subject.lcsh Knowledge acquisition (Expert systems)
dc.title A Knowledge-based approach to understanding natural language
dc.type Thesis
dc.description.college College of Computing and Information Sciences
dc.description.department Computer Science Department

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