Robust text understanding systems can be developed by focusing on the application of memory-based parsing techniques. This paper describes an experiment in extending these techniques as far as possible. Described here are the parsing methods used by the Integrated Partial Parser (IPP), a computer system designed to read and generalize from large numbers of news stories. These methods include top-down, «generic, predictions generated from high-level memory structures, and simple, procedural bottom-up heuristics to handle language-specific problems. A detailed example is presented. © 1983 Elsevier Science Publishers B.V. (North-Holland).
CITATION STYLE
Lebowitz, M. (1983). Memory-based parsing. Artificial Intelligence, 21(4), 363–404. https://doi.org/10.1016/S0004-3702(83)80019-8
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