B. M. Slator
Abstract
A lexicon providing subsystems, that produces text-specific lexicons from selected machine readable dictionary definitions from the Longman Dictionary of Contemporary English (LDOCE; Procter, 1978) has been developed. Although designed as part of a larger system for Preference Semantics (Wilks; 1972, 1975a, 1975b, 1978) and knowledge-based parsing, the resulting lexicons are in a very general predicate and frame representation that would have utility as part of a variety of differing systems of language analysis. The input to this subsystem is unconstrained text; the database is LDOCE (a machine-readable dictionary which is, itself, simply a special purpose text); the output is a collection of lexical semantic objects, one for every word sense, of every part of speech, of every word in the text. Each lexical semantic object in this lexicon contains grammatical and sub-categorization information, often with general (and sometimes specific) grammatical predictions; most of these objects also have semantic selection codes; and many have contextual (pragmatic, LDOCE subject code) knowledge as well.
- Procter, P., et al. (1978). Longman Dictionary of Contemporary English (LDOCE). Harlow, Essex, UK: Longman Group Limited.Google Scholar
- Slator, B. M. (1988a). "Constructing Contextually Organized Lexical Semantic Knowledge-Bases," Proceedings of the Third Annual Rocky Mountain Conference of Artificial Intelligence, pp. 142-148. Denver, CO. June 13-15.Google Scholar
- Slator, B. M. (1988b). "Lexical Semantics and a Preference Semantics Parser." Memoranda in Computer and Cognitive Science, (MCCS-88-116). Las Cruces, NM: Computing Research Laboratory, New Mexico State University.Google Scholar
- Slator, B. M. (1988c). "PREMO: the PREference Machine Organization," Proceedings of the Third Annual Rocky Mountain Conference on Artificial Intelligence, pp. 258-265. Denver, Co. June 13-15.Google Scholar
- Slator, B. M., and Y. A. Wilks (1987) "Towards Semantics Structures from Dictionary Entries," Proceedings of the Second Annual Rocky Mountain Conference on Artificial Intelligence, pp. 85-96. Boulder, CO. Also as CRL Memo MCCS-87-96.Google Scholar
- Wilks, Y. A. (1972). Grammar, Meaning, and the Machine Analysis of Language. London: Routledge and Kegan Paul.Google Scholar
- Wilks, Y. A. (1975a). "An Intelligent Analyzer and Understander of English," Communications of the ACM, 18 (5), 264-274. Reprinted in "Readings in Natural Language Processing," Edited by B. J. Grosz, K. Sparch-Jones, and B. L. Webber, Los Altos: Morgan Kaufmann, 1986, pp. 193-203. Google ScholarDigital Library
- Wilks, Y. A. (1975b). "A Preferential Pattern-Seeking Semantics for Natural Language Inference," Artificial Intelligence, 6, 53-74.Google ScholarDigital Library
- Wilks, Y. A. (1978). "Making Preferences More Active," Artificial Intelligence, 11, 75-97.Google ScholarCross Ref
- Wilks, Y. A., D. C. Fass, C. M. Guo, J. E. McDonald, T. Plate, and B. M. Slator (1987). "A Tractable Machine Dictionary as a Resource for Computational Semantics," Proceedings of the Workshop on Natural Language Technology Planning, Sept. 20-23. Blue Mountain Lake, NY. Also as CRL Memo MCCSS-87-105.Google Scholar
- Wilks, Y. A., D. C. Fass, C. M. Guo, J. E. McDonald, T. Plate, and B. M. Slator (1988). "Machine Tractable Dictionaries as Tools and Resources for Natural Language Processing," Proceedings of the 12th International Conference on Computational Linguistics (COLING-88). Budapest, Hungary, Aug. 22-27. Google ScholarDigital Library
Index Terms
- Extracting lexical knowledge from dictionary text
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