Extracting lexical knowledge from dictionary text

  • Authors:
  • B. M. Slator

  • Affiliations:
  • North Dakota State Univ., Fargo, ND

  • Venue:
  • ACM SIGART Bulletin - Special issue on knowledge acquisition
  • Year:
  • 1989

Quantified Score

Hi-index 0.00

Visualization

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.