By John F. Sowa (auth.), Guy W. Mineau, Bernard Moulin, John F. Sowa (eds.)
Artificial Intelligence and cognitive technological know-how are the 2 fields dedicated to the research and improvement of knowledge-based structures (KBS). during the last 25years, researchers have proposed numerous ways for modeling wisdom in KBS, together with numerous types of formalism equivalent to semantic networks, frames, and logics. within the early Nineteen Eighties, J.F. Sowa brought the conceptual graph (CG) idea which gives a data illustration framework including a sort of good judgment with a graph notationand integrating numerous positive aspects from semantic internet and body representations. considering that that point, numerous study groups over the area were engaged on the appliance and extension of CG conception in a number of domain names starting from traditional language processing to database modeling and laptop studying. This quantity comprises chosen papers fromthe overseas convention on Conceptual buildings held within the urban of Quebec, Canada, August 4-7, 1993. the quantity opens with invited papers through J.F. Sowa, B.R. Gaines, and J. Barwise.
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Extra resources for Conceptual Graphs for Knowledge Representation: First International Conference on Conceptual Structures, ICCS'93 Quebec City, Canada, August 4–7, 1993 Proceedings
Computational Linguistics 23:2 (1997) 241-267. 4. : Towards Tokenization Evaluation. Proceedings of LREC-98 (1998) 427-431. 5. : Du texte ASCII au texte lemmatis´e : la pr´esyntaxe en une seule ´etape. Proceedings of TALN-97 (1997) 60-69. 6. : What’s in a Word Graph. Evaluation and Enhancement of Word Lattices. Verbmobil report 186 (1997). Universit¨ at Hamburg, Germany. de/. 7. : Les syst`emes Q ou un formalisme pour analyser et synth´etiser des phrases sur ordinateur. Publication interne num´ero 43 (1970).
Another extension to the finite-state model is the introduction of variables in the identification rules to allow for backreferences. Consider the following rule: $A $B -> $B $A / $A = a+, $B = b+ ; This identifies a string of a’s followed by a string of b’s in the source graph and writes the identified string of b’s followed by the identified string of a’s in the target graph. Backreferences are handled by the rule engine using special symbols in the rule transducer. A special kind of identification is the automatic segmentation that takes place at the entry point of the process.
In this paper there is a description of extending and adapting the model of functional decomposition in order to cover a number of morphological phenomena that are encountered in Modern Greek. To achieve a more efficient word recognition modifications on the original model were introduced, the lazy word-parsing approach been adopted. The proposed system was used for processing a large scale corpus and the results are presented and discussed as well. ,QWURGXFWLRQ Morphological analysis is a fundamental part of processing for languages having rich morphology, like Modern Greek (henceforth simply Greek).
Conceptual Graphs for Knowledge Representation: First International Conference on Conceptual Structures, ICCS'93 Quebec City, Canada, August 4–7, 1993 Proceedings by John F. Sowa (auth.), Guy W. Mineau, Bernard Moulin, John F. Sowa (eds.)