DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Gil-Chang | - |
dc.contributor.advisor | 김길창 | - |
dc.contributor.author | Chung, Kyo-Joong | - |
dc.contributor.author | 정교중 | - |
dc.date.accessioned | 2011-12-13T05:50:18Z | - |
dc.date.available | 2011-12-13T05:50:18Z | - |
dc.date.issued | 1986 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=65154&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/33684 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학과, 1986.2, [ [iv], 36 p. ] | - |
dc.description.abstract | A natural language understanding system requires extensive knowledge about the world. Since most systems simply have the built-in knowledge schemata, it is appropriate to consider how to acquire these knowledge schemata automatically. In this thesis, the problem of acquiring planning knowledge schema from natural language explanation is addressed by constructing a computer model which analyzes narratives containing planning knowledge. The system attempts to construct the causal structure of the narrative in terms of the goals and their plans. It acquires the planning knowledge schema if there exists. This approach is not the inductive but one trial learning. The acquired schemata contain processing knowledge which is useful in dealing with the kinds of planning, and serve as episodic memory structure indexing scheme. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 계획 기반. | - |
dc.subject | 자연 언어 처리. | - |
dc.title | Memory-based planning knowledge schema acquisition from natural language explanation | - |
dc.title.alternative | 자연어 표현에서 계층적 기억 구조를 이용한 계획 지식 스키마의 습득 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 65154/325007 | - |
dc.description.department | 한국과학기술원 : 전산학과, | - |
dc.identifier.uid | 000841294 | - |
dc.contributor.localauthor | Kim, Gil-Chang | - |
dc.contributor.localauthor | 김길창 | - |
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