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Hits 41 – 60 of 97

41
Knowledge Based Question Answering
In: DTIC AND NTIS (1983)
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42
A Speech Controlled Information-Retrieval System
In: DTIC AND NTIS (1983)
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43
How to Drive a Database Front End Using General Semantic Information
In: DTIC AND NTIS (1983)
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44
Voice Recognition Vocabulary Lists for the Army's TACFIRE System.
In: DTIC AND NTIS (1983)
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45
Language Processing for Speech Understanding.
In: DTIC AND NTIS (1983)
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46
The Well-tempered speech recogniser ...
Levinson, Daniel Clive. - : University of Calgary, 1982
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47
Functional Semantics.
In: DTIC AND NTIS (1982)
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48
A Framework for Forming, Modifying, and Using Multimedia Concepts in Memory. Part I. Mathematical Formulation.
In: DTIC AND NTIS (1982)
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49
A Names Input Station for Automated Foreign Names Production at the United States Defense Mapping Agency
In: DTIC AND NTIS (1982)
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50
Memory, Meaning, and Syntax.
In: DTIC AND NTIS (1980)
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51
Adaptive Understanding: Correcting Erroneous Inferences.
In: DTIC AND NTIS (1980)
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52
Theory of Compiler Specification and Verification.
In: DTIC AND NTIS (1980)
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53
Axiomatic Specification of Syntax-Directed Translation.
In: DTIC AND NTIS (1978)
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54
Natural Language Processing in an Automatic Programming Domain
In: DTIC AND NTIS (1978)
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55
Script Application: Computer Understanding of Newspaper Stories.
In: DTIC AND NTIS (1978)
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56
Study and Development of Speech-Separation Techniques.
In: DTIC AND NTIS (1978)
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57
A Keynote Address Concurrent Programming
In: DTIC AND NTIS (1978)
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58
The Inference of Domain Structure from Informal Process Descriptions
In: DTIC AND NTIS (1977)
Abstract: Understanding informal descriptions of processes requires access to a body of knowledge about the process domain, and the ability to use that knowledge appropriately. A great deal of effort has been spent in developing methods for organizing and using domain knowledge; relatively little has been done to automate acquisition of such knowledge. Since English process descriptions reflect the underlying structure of the process domain, knowledge about that structure may be inferred from the description itself. A categorization of important structural knowledge classes is presented, and a production system described which interprets English-like statements on the basis of existing structural context. A sample of the rules from this system is examined. By assuming conditions required in the rule patterns when a linguistic structure is not interpretable, it is possible to infer a great deal of structural knowledge about a process domain. This incremental growth of domain structure presents an alternative to constructing process understanding systems applicable only to very restricted domains, or requiring extensive additions of domain-specific knowledge by human experts for each new task.
Keyword: *ARTIFICIAL INTELLIGENCE; *COMPUTER PROGRAMMING; *MAN COMPUTER INTERFACE; COMPREHENSION; Computer Programming and Software; FLOW CHARTING; Government and Political Science; INPUT OUTPUT PROCESSING; NATURAL LANGUAGE; SYMBOLIC PROGRAMMING
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA048154
http://www.dtic.mil/docs/citations/ADA048154
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59
A Natural Language Graphics System.
In: DTIC AND NTIS (1977)
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60
Information Sciences: Information Processing Systems and Techniques.
In: DTIC AND NTIS (1976)
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