Meaning representation methods
News of the Kabardin-Balkar scientific center of RAS, no. 6 (2016), pp. 61-65.

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This article provides an analysis of modern models and algorithms of meaning representation in linguistic theories and intelligence systems. A new method based on multi-agent recursive cognitive architecture is proposed and described.
Keywords: formal semantics, lexical semantics, distributional semantics, procedural meaning, cognitive architecture.
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Z. V. Nagoev; D. G. Makoeva. Meaning representation methods. News of the Kabardin-Balkar scientific center of RAS, no. 6 (2016), pp. 61-65. http://geodesic.mathdoc.fr/item/IZKAB_2016_6_a9/

[1] Z. V. Nagoev, Intellektika ili myshlenie v zhivykh i iskusstvennykh sistemakh, Izdatelstvo KBNTs RAN, Nalchik, 2013, 211 pp.

[2] Z. V. Nagoev, O. V. Nagoeva, D. G. Tokmakova, “Adaptivnyi mnogomodalnyi vysokourovnevyi interfeis k avtonomnym sistemam na osnove samoorganizuyuschikhsya multiagentnykh kognitivnykh modelei semantiki”, Materialy devyatoi vserossiiskoi nauchno-prakticheskoi konferentsii «Perspektivnye sistemy i zadachi upravleniya» i chetvertoi molodezhnoi shkoly-seminara «Upravlenie i obrabotka informatsii v tekhnicheskikh siste-makh», Izd-vo YuFU, Taganrog, 2014, 64–78

[3] D. G. Bobrow, “A question-answering system for high school algebra word problems”, Fall joint computer conference, part 1, 591-614

[4] N. Chomsky, Aspects of the Theory of Syntax, Cambridge, MIT Press, Massachusetts, 1965

[5] A. M. Collins , M. R. Quillian, “Retrieval time from semantic memory”, Journal of verbal learning and verbal behavio, 1969, no. 8 (2), 240-247 | DOI

[6] D. A. Cruse, Lexical Semantics, Cambridge: Cambridge University Press, 1986

[7] C. Fellbaum, WordNet: An Electronic Lexical Database, Bradford Books, 1998

[8] Ch. Fillmore, The Case for Case. In Bach and Harms: Universals in Linguistic Theory, Holt, Rinehart, and Winston, New York, 1968, 1-88 pp. | MR

[9] J. Groenendijk, M. Stokhof, Dynamic Montague grammar, Proceedings of the Second Symposion on Logic and Language, Budapest, 1990

[10] Z. Harris, “Distributional structure”, Word, 10 (23):1954, 146-162

[11] Z. Harris, Mathematical Structures of Language, Krieger Pub Co, 1968 | MR

[12] Jackendoff Ray, Semantic Interpretation in Generative Grammar, Cambridge, MA: MIT Press, 1972

[13] H. Kamp, U. Reyle, From discourse to logic: Introduction to model theoretic semantics of natural language, formal logic and discourse representation theory, Springer Science Business Media, 1993, 713 pp.

[14] J. J. Katz , J. A. Fodor, “The structure of a semantic theory”, Language, 39 (1963), 170-210 | DOI

[15] G. Lakoff, Women, Fire, and Dangerous Things: What Categories Reveal about the Mind, University of Chicago Press, Chicago, 1987 | MR

[16] T. K. Landauer , S. T. Dumais “A solution to Plato's problem: The Latent Semantic Analysis theory of the acquisition, induction, and representation of knowledge”, Psychological Review, 104 (1997), 211-240 | DOI

[17] R. W. Langacker, Foundations of cognitive grammar: Theoretical Prerequisites., Stanford University Press, Stanford, CA, 1987

[18] A. Lascarides A., N. Asher, Temporal Interpretation, Discourse Relations and Commonsense Entailment, Linguistics and Philosophy, v. 16 (5), Kluwer Academic Publishers, Dordrecht, Holland, 1993, 437-493

[19] K. Lund, C. Burgess, Behavior Research Methods, Instruments, Computers Producing high-dimensional semantic spaces from lexical co-occurrence, 1996

[20] G. A. Miller , R. Beckwith, C. D. Fellbaum , D. Gross, K. Miller, “WordNet: An online lexical database”, Int. J. Lexicograph, 3:4 (1990), 235-24 | DOI

[21] G. Miller, C. Fellbaum, “Semantic networks of English”, Cognition, 1991, no. 41, 197-229 | DOI

[22] R. Montague, “The proper treatment of quantification in ordinary English”, Approaches to Natural Language, eds. Jaakko Hintikka; Julius Matthew Emil Moravcisk; and Patrick Suppes, Dordrecht: D. Reidel, 1973, 247-270 | MR

[23] E. Ovchinnikova, Integration of World Knowledge for Natural Language Understanding, Springer. Atlantis Press., 2012, 242 pp.

[24] B. Raphael, SIR: a computer program for semantic information retrieval, MIT, 1964, 169 pp.

[25] N. Riemer, Introducing Semantics, Cambridge: Cambridge University Press, 2010

[26] J.(January) Weizenbaum, “«ELIZA-A Computer Program For the Study of Natural Language Communication Between Man And Machine»”, Communications of the ACM, 1966, no. 9 (1), 36-45

[27] T. Winograd, Understanding Natural Language, Also published in Cognitive Psychology, 3:1 (1972), pp. 1-191, Academic Press, New York, 1972

[28] W. A. Woods, R. M. Kaplan, B. Nash-Webber, The Lunar Sciences Natural Language Information System, Final Report, BBN Rep. No. 2378., eds. Bolt Beranek and Newman, Cambridge, Massachusetts, 1972