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1
Modelling Psychological Needs for User-dependent Contextual Suggestion
In: DTIC (2014)
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2
Enhancing P3P Framework through Policies and Trust
In: DTIC AND NTIS (2005)
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3
A Smarter Intelink: Intelligence Information Management to Support the Operational Commander
In: DTIC (2005)
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4
Electronic Information Management and Intellectual Property Rights
In: DTIC AND NTIS (2004)
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5
Novelty Detection via Answer Updating
In: DTIC (2004)
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6
Language Models for Hierarchical Summarization
In: DTIC (2003)
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7
Multidocument Summarization via Information Extraction
In: DTIC (2001)
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8
Natural Language Information Retrieval: TREC-3 Report
In: DTIC (1994)
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9
Corpora and Data Preparation
In: DTIC (1993)
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10
Augmented Role Filling Capabilities for Semantic Interpretation of Spoken Language
In: DTIC (1991)
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11
Adaptive Natural Language Processing
In: DTIC AND NTIS (1991)
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12
Parrot: The Janus Paraphraser
In: DTIC AND NTIS (1989)
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13
Team User's Guide
In: DTIC (1984)
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14
Syntax-Directed Editing: Towards Integrated Programming Environments
In: DTIC AND NTIS (1982)
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15
A Workshop on Qualitative Information Retrieval, November 18-20, 1980
In: DTIC AND NTIS (1981)
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16
The Database as Model: A Metatheoretic Approach
In: DTIC (1981)
Abstract: This paper presents a method of formally representing the information that is available to a user of a relational database. The intended application area is deductive question-answering systems that must access an existing relational database. To respond intelligently to user inquiries, such systems must have a more complete representation of the domain of discourse than is generally available in the tuple sets of a relational database. Given this more expressive representation, the problem arises of how to reconcile the information present in the database with the domain representation so that database queries can be derived to answer the user's inquiries. In this paper, the author takes the formal approach of describing a relational database as the model of a first-order language. Another first-order language, the metalanguage, is used both to represent the domain of discourse and to describe the relationship of the database to the domain. The formal advantages of this approach are presented and contrasted with other work in this area. ; Technical Note 255.
Keyword: *ARTIFICIAL INTELLIGENCE; *DATABASE REPRESENTATION; *FIRST-ORDER LANGUAGES; *INFORMATION RETRIEVAL; *INTERROGATION; *METALANGUAGES; *NATURAL LANGUAGE; *RELATIONAL DATA BASES; Computer Programming and Software; Cybernetics; DATABASE QUERIES; DESCRIPTIVE INADEQUACY; DOMAIN OF DISCOURSE; EMBEDDING; GRAPHICAL USER INTERFACE; Information Science; KNOWLEDGE REPRESENTATION; Linguistics; METATHEORY; QUESTION-ANSWERING SYSTEMS; USER NEEDS; USER QUERIES
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460323
http://www.dtic.mil/docs/citations/ADA460323
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17
Word Criticality Analysis. MOS: 67Y. Skill Levels 1 & 2.
In: DTIC AND NTIS (1981)
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18
Text Generation: The State of the Art and the Literature.
In: DTIC AND NTIS (1981)
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19
Word Criticality Analysis. MOS: 31M. Skill Levels 1 & 2.
In: DTIC AND NTIS (1981)
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20
Word Criticality Analysis. MOS: 82C. Skill Levels 1 & 2.
In: DTIC AND NTIS (1981)
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