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Hits 181 – 196 of 196

181
Out of the Laboratory: A Case Study with the IRUS Natural Language Interface
In: DTIC (1986)
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182
Natural Language Interactions with Artificial Experts
In: DTIC (1986)
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183
Acoustic-Phonetic Constraints in Continuous Speech Recognition: A Case Study Using the Digit Vocabulary
In: DTIC (1985)
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184
Natural Language Communication with Machines: An Ongoing Goal.
In: DTIC AND NTIS (1983)
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185
What's Important about Knowledge Representation.
In: DTIC AND NTIS (1983)
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186
Transportable Natural-Language Interfaces to Databases
In: DTIC (1981)
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187
An Approach to Acquiring and Applying Knowledge
In: DTIC (1980)
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188
Klaus: A System for Managing Information and Computational Resources
In: DTIC (1980)
Abstract: This report presents a broad-brush description of the basic goals and philosophy of a research program at SRI International (SRI) aimed at developing the technology needed to support systems that can be tutored in English about new subject areas, and that can thereafter aid the user in filing and retrieving information and in conveniently applying to the new subject area other computer software, such as data-base management systems (DBMS), planners, schedulers, report generators, and simulators. These systems, which the authors call Knowledge Learning and Using Systems (KLAUS), are intended to act as brokers between the user's needs, as expressed in the user's terms, and the resources available in a rich computational environment. In a nutshell, the core concept of a KLAUS is that of an interactive system preprogrammed with essential skills for readily learning the concepts and vocabulary of new subject domains, and with expertise for applying acquired knowledge in problem-solving situations. A KLAUS is tutored about new domains in English (perhaps also using tables, menus, and domain-specific formalisms). While being taught, a KLAUS does not play a passive role, but actively looks for gaps and inconsistencies in its knowledge, asking its tutor pointed clarification questions. In this manner, the KLAUS aids the user in formalizing, organizing, and clarifying his or her ideas. After tutoring, a KLAUS can aid its tutor and other users in performing tasks that require combining knowledge of the new domain with knowledge of how to use sophisticated computer systems. ; Sponsored in part by the Defense Advanced Research Projects Agency (DARPA). Technical Note No. 230. SRI Project 1894.
Keyword: *ACQUISITION; *DATA MANAGEMENT; *INFORMATION PROCESSING; *KLAUS(KNOWLEDGE LEARNING AND USING SYSTEMS); *KNOWLEDGE ACQUISITION; *KNOWLEDGE BASED SYSTEMS; *LEARNING MACHINES; *MAN MACHINE SYSTEMS; *NATURAL LANGUAGE; COMPUTER TUTOR INTERACTIONS; Cybernetics; DATA BASES; ENCODING KNOWLEDGE; ENGLISH LANGUAGE; EXPERT TUTORS; Human Factors Engineering & Man Machine System; INFORMATION RETRIEVAL; Information Science; INFORMATION SYSTEMS; INFORMATION TRANSFER; INTERACTIONS; INTERACTIVE DIALOGS; KNOWLEDGE DOMAIN EXPERTS; KNOWLEDGE REPRESENTATION; Linguistics; NATURAL LANGUAGE DIALOGS; NATURAL LANGUAGE PROCESSING; PROBLEM SOLVING; TRANSFER OF EXPERTISE; USER FRIENDLY; USER NEEDS
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458597
http://www.dtic.mil/docs/citations/ADA458597
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189
Intelligent Text Processing Techniques for Textual-Profile Gene Characterization
In: http://www.di.uniba.it/~biba/biba-cibb.pdf
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190
Automated Ontology Evolution as a Basis for User- Adaptive Recommender Interfaces
In: http://ceur-ws.org/Vol-811/paper9.pdf
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191
Using Knowledge and Constraints To Find the Best Antecedent
In: http://aclweb.org/anthology/C/C12/C12-1081.pdf
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192
Multi-Agent System for Knowledge-Based Access to Distributed Databases
In: http://www.ijikm.org/Volume3/IJIKMv3p001-009Sajja106.pdf
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193
A Linguistic Approach to Games with Communication
In: http://paula.univ.gda.pl/~matwj/papers/games.ps.gz
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194
Approximate Reasoning Using Logico-Symbolic Valuations
In: http://www.univ-reims.fr/Labos/LERI/publications/postscript/achen.ps.gz
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195
Mining Linguistic Information for Configuring a Visual Surface Inspection System
In: http://www.eusflat.org/publications/proceedings/IFSA-EUSFLAT_2009/pdf/tema_1729.pdf
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196
Definition of Fuzzy Sets Representing Medical Concepts and Acquisition of Fuzzy Relationships Between Them by Semi-Automatic Procedures
In: http://www.erudit.de/erudit/events/esit99/12568_p.pdf
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