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Emoticons Signal Expertise in Technical Web Forums ; Neural Nets and Surroundings
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Application of artificial intelligence to the management of urological cancer.
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In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2007)
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Enhancing P3P Framework through Policies and Trust
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In: DTIC AND NTIS (2005)
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A connectionist expert approach for speech recognition, The Intl
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In: http://ccis2k.org/iajit/PDF/vol.2,no.2/8-Halima.pdf (2004)
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Fusion of Stochastic and Linguistic Information Using a Conditional Event Framework
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In: DTIC AND NTIS (2001)
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A Table-Based Approach To Expert Fault Diagnosis Networks
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In: http://www.cs.fsu.edu/~adair/smallannie.ps (1996)
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Fuzzy MLP based expert system for medical diagnosis, Fuzzy Sets and Systems 65 (2=3
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In: http://www.isical.ac.in/~sushmita/paper/fexpsys.pdf (1994)
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Proceedings of the Seventh International Symposium on Methodologies for Intelligent Systems (Poster Session)
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In: 7. international symposium on methodologies for intelligent systems, Trondheim (Norway), 15-18 Jun 1993 (1993)
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Proceedings of the Seventh International Symposium on Methodologies for Intelligent Systems (Poster Session)
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In: 7. international symposium on methodologies for intelligent systems,Trondheim (Norway),15-18 Jun 1993 (1993)
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Toward a Fuzzy Theory of Performance Measurement
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In: DTIC AND NTIS (1992)
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Program 6 Technical Interchange Meeting Proceedings
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In: DTIC AND NTIS (1992)
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Analogical Explanations
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In: DTIC AND NTIS (1990)
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Abstract:
Analogical problem solving has been an area of considerable research in Al for some time, but the use of analogies in language generation as a means of explanation has attracted much less attention. Analogies are very interesting linguistic devices, because they convey a large amount of information in a relatively concise fashion. While using analogies is very common in language, most generations systems are not able to use analogies when providing explanations. In this paper, we discuss analogies in general, and outline a framework which will lay the foundations for knowledge representation suitable for generating inter-domain analogies. We argue that language should help in knowledge representation, and employ the Upper-Model, an ontology of abstractions used in natural language generation, to help organize representation of domain terminology. Explanations, Analogy, Natural language generation.
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Keyword:
*ANALOGIES; *EXPERT SYSTEMS; *NATURAL LANGUAGE; ARTIFICIAL INTELLIGENCE; ATTENTION; EES(EXPLAINABLE EXPERT SYSTEM); INFORMATION TRANSFER; KNOWLEDGE REPRESENTATION; Linguistics; LOCAL AREA NETWORKS; MODELS; PROBLEM SOLVING; PROTOTYPES; SYSTEMS ENGINEERING; TEXT PROCESSING; UPPER MODEL
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URL: http://www.dtic.mil/docs/citations/ADA269585 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA269585
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A Model for Integrating a Job-Aiding, Training, and Performance Assessment System--a Preliminary Concept Paper.
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In: DTIC AND NTIS (1988)
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Applicability of Artificial Intelligence to the Global Decision Support System
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In: DTIC AND NTIS (1987)
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Parallel Mechanisms of Sentence Processing: Assigning Roles to Constituents of Sentences.
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In: DTIC AND NTIS (1986)
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What's Important about Knowledge Representation.
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In: DTIC AND NTIS (1983)
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ARTIFICIAL INTELLIGENCE IN WELDING PROCESSES
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In: http://www.rs.ugal.ro/annalsabstracts/annals2009_a19.pdf
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