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Out of the Laboratory: A Case Study with the IRUS Natural Language Interface
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In: DTIC (1986)
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182 |
Natural Language Interactions with Artificial Experts
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In: DTIC (1986)
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183 |
Acoustic-Phonetic Constraints in Continuous Speech Recognition: A Case Study Using the Digit Vocabulary
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In: DTIC (1985)
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184 |
Natural Language Communication with Machines: An Ongoing Goal.
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In: DTIC AND NTIS (1983)
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185 |
What's Important about Knowledge Representation.
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In: DTIC AND NTIS (1983)
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186 |
Transportable Natural-Language Interfaces to Databases
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In: DTIC (1981)
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187 |
An Approach to Acquiring and Applying Knowledge
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In: DTIC (1980)
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188 |
Klaus: A System for Managing Information and Computational Resources
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In: DTIC (1980)
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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.
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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
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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
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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
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In: http://ceur-ws.org/Vol-811/paper9.pdf
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191 |
Using Knowledge and Constraints To Find the Best Antecedent
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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
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In: http://www.ijikm.org/Volume3/IJIKMv3p001-009Sajja106.pdf
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193 |
A Linguistic Approach to Games with Communication
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In: http://paula.univ.gda.pl/~matwj/papers/games.ps.gz
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194 |
Approximate Reasoning Using Logico-Symbolic Valuations
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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
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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
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In: http://www.erudit.de/erudit/events/esit99/12568_p.pdf
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