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Hits 41 – 60 of 72

41
Natural Language Interactions with Artificial Experts
In: DTIC (1986)
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42
Natural-Language Interfaces
In: DTIC (1986)
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43
TEAM: An Experiment in the Design of Transportable Natural-Language Interfaces
In: DTIC (1986)
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44
A Natural Language Processor and Its Application to a Data Dictionary System.
In: DTIC AND NTIS (1985)
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45
Team User's Guide
In: DTIC (1984)
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46
Knowledge Representation and Natural-Language Semantics.
In: DTIC AND NTIS (1984)
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47
Transportability and Generality in a Natural-Language Interface System
In: DTIC (1983)
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48
Requirements for Natural Language Understanding in a System with Graphic Displays
In: DTIC AND NTIS (1983)
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49
Natural Language Text Segmentation Techniques Applied to the Automatic Compilation of Printed Subject Indexes and for Online Database Access
In: DTIC AND NTIS (1983)
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50
A Tutorial on Techniques and Applications for Natural Language Processing
In: DTIC AND NTIS (1983)
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51
Proceedings of the Conference on Applied Natural Language Processing Held at Santa Monica, California on 1-3 February 1983.
In: DTIC AND NTIS (1983)
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52
IR-NLI: (Information Retrieval Natural Language Interface) an Expert Natural Language Interface to Online Data Bases
In: DTIC AND NTIS (1983)
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53
Understanding and Representing Natural Language Meaning.
In: DTIC AND NTIS (1982)
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54
Transportable Natural-Language Interfaces to Databases
In: DTIC (1981)
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55
Practical Natural-Language Processing by Computer
In: DTIC (1981)
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56
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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57
Beyond Question-Answering.
In: DTIC AND NTIS (1981)
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58
Anaphora for Limited Domain Systems
In: DTIC AND NTIS (1981)
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59
The State-of-the-Art in Natural Language Understanding.
In: DTIC AND NTIS (1981)
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60
Natural Language Access to Databases: Interpreting Update Requests
In: DTIC AND NTIS (1981)
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