Abstract
Recent work on generation focuses on the ‘strategic’ problem of producing a representation of what has to be said, assuming more or less implicitly that the ‘tactical’ problem of actually producing a sequence of words expressing that representation has been solved. This assumption is rather optimistic. Between the many problems which still remain, this paper focuses on the organization of lexical knowledge. The solutions adopted in a prototype tactical system called GEOGRAPH are presented. The representation language used by GEOGRAPH has been augmented to handle the problems raised by the organization of lexical knowledge; the epistemological affinities between lexical and domain knowledge have been evidentiated. Once lexical and domain knowledge are organized according to the same principles, some tools to ease their integration can be provided by the knowledge representation language itself. A first attempt in this direction is described.
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References
D.E. Appelt: “Planning English Referring Expressions”, Artificial Intelligence, v. 26, 1985, 1: 33
P. Baggia, M. Poesio: Using Conceptual Graphs in the Development of Knowledge Bases, CSEI: l’ Technical Report RD-86435, October 3, 1986
D.G.Bobrow,’I’.W inograd:“An Overview of KRL., a Knowledge Representation Language”, Cognitive Science v.1, 1977,3:46
R. Brachman, V. Pigman Gilbert, I I.J. Levesque: “An Essential hybrid Reasoning System: Knowledge and Symbol Level Accounts of KRYPTON”, Proc. IX IJCAI Los Angeles, 1985, 532: 539
R. Brachman,J.Schmolze: “An Overview of the KL-ONE Knowledge Representation System”, Cognitive Science, v. 9, 1985, 171: 216
E.Charniak, C.K.Riesbeck, D.McDermott: Artificial Intelligence Programming,Lawrence Erlbaum, Ilillsdale,N.J, 1980
S.Fahlman: A System for Representing and Using Real World Knowledge,Ph.D. thesis, MIT, Cambridge,MA, 1977
N. M. Goldman: “Sentence Paraphrasing from a Conceptual Base”,Communications ACM v. 18, n. 2, February 1975, 96: 106
D.G.lIays: Dependency theory: a formalism and some observations,Memorandum RM4087 PR, The Rand Corporation, 1964
A.L.Lepschy, C. Lepschy: I.a lingua italiana, Bompiani, Milano, 1986 (3rd ed.)
W. Mann (chairperson): “Text Generation”, American Journal of Computational Linguistics, v.8, n.2, April-June 1982
M.Marcus: “Generations Systems Should Choose Their Words”, Proc. TIN LAP-3, Las Cruces, NM, 1987, 211: 214
K. McKeown: “Discourse Strategies for Generating Natural Language Text”, Artificial Intelligence v. 27, 1985, 1: 41
M.Poesio: “Interpretazione logica di una rappresentazione epistemologica”,Proc. Secondo Convegno Nazionale Programmazione Logica Torino, Italy, May 1987
M.Poesio, C.Rullent:“Modified Caseframe Parsing for Speech Understanding SYstems”, to appear in Prue. X IJCAI Milano, Italy, 1987
N.K.Sondheimer, B.Nebel, “A Logical-form and Knowledge-base design for natural language generation”, Proc. AAA1–86 Philadelphia,Pa, 1986, 612–618
J. F. Sowa: Conceptual Structures Addison-Wesley, Reading (MA ), 1984
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© 1987 Springer-Verlag Berlin Heidelberg
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Poesio, M. (1987). An Organization of Lexical Knowledge for Generation. In: Morik, K. (eds) GWAI-87 11th German Workshop on Artifical Intelligence. Informatik-Fachberichte, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73005-4_10
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DOI: https://doi.org/10.1007/978-3-642-73005-4_10
Publisher Name: Springer, Berlin, Heidelberg
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