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1
The task of natural language processing
Robinson, J. (Mitarb.); Grosz, Barbara (Mitarb.); King, Margaret (Mitarb.)...
In: Linguistica computazionale. - Pisa : Giardini 9-10 (1994), 1-115
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2
Systems
Green, Bert F. (Mitarb.); Wolf, Alice K. (Mitarb.); Chomsky, Carol (Mitarb.)...
In: Readings in natural language processing. - Los Altos, Calif. : Morgan Kaufmann (1986), 539-657
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3
Semantic aspects of translation
In: Readings in natural language processing. - Los Altos, Calif. : Morgan Kaufmann (1986), 267-283
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4
Applied computational linguistics in perspective: proceedings of the workshop 1 : Natural-language interface
In: American journal of computational linguistics. - Menlo Park, Calif. : SRI International 8 (1982) 2, 56-61
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5
Computational models of belief and the semantics of belief sentences
In: Processes, beliefs, and questions. - Dordrecht [u.a.] : Reidel (1982), 107-127
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6
Transportable Natural-Language Interfaces to Databases
In: DTIC (1981)
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7
An Approach to Acquiring and Applying Knowledge
In: DTIC (1980)
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8
Klaus: A System for Managing Information and Computational Resources
In: DTIC (1980)
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9
Computational Models of Belief and the Semantics of Belief Sentences
In: DTIC (1979)
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10
Mechanical Intelligence: Research and Applications
In: DTIC AND NTIS (1977)
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11
Semantic Processing for Speech Understanding
In: DTIC (1975)
Abstract: This paper describes aspects of the semantic component of the speech understanding system currently being developed jointly by SRI and SDC. The semantic component consists of two major parts: a semantic network coding a model of the task domain and a battery of semantic composition routines (SCRs) that are coordinated with the language definition (i.e., the "grammar" for the speech understanding system). This paper concentrates exclusively on the interplay between these two major parts during parsing. However, the semantic component also plays important roles in knowledge management, discourse analysis, prediction, and question answering. The semantic component of the speech understanding system discussed here rules out phrase combinations that are not meaningful and produces semantic interpretations for combinations that are. The system consists of a semantic network model and routines that interact with it. The net is partitioned into a set of hierarchically ordered subnets, facilitating the encoding of higher-order predicates and the maintenance of multiple parsing hypotheses. Outputs from these routines are network fragments consisting of several subnets that in aggregate capture the interrelationships between a phrase's syntax and semantics. ; SRI Project 3804. Presented at the Annual Meeting of the Association for Computational Linguistics (13th) held in Boston, MA, on 30 Oct-1 Nov 1975.
Keyword: *COMPUTATIONAL LINGUISTICS; *PARSERS; *SEMANTIC PROCESSING; *SEMANTICS; *SPEECH RECOGNITION; *SPEECH UNDERSTANDING; *VOICE COMMUNICATIONS; ARTIFICIAL INTELLIGENCE; CODING; Cybernetics; INFORMATION PROCESSING; LANGUAGE TRANSLATION; Linguistics; NETWORKS; PARTITIONING; SCR(SEMANTIC COMPOSITION ROUTINES); SEMANTIC NETWORKS; SYMPOSIA; SYNTAX; Voice Communications
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458706
http://www.dtic.mil/docs/citations/ADA458706
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12
Expanding the Utility of Semantic Networks Through Partitioning
In: DTIC (1975)
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