Feature structure based semantic head driven generation

  • Authors:
  • Gen-ichiro Kikui

  • Affiliations:
  • ATR Interpreting Telephony Research Laboratories, Kyoto, Japan

  • Venue:
  • COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
  • Year:
  • 1992

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper proposes a generation method for feature-structure-based unification grammars. As compared with fixed arity term notation. feature structure notation is more flexible for representing knowledge needed to generate idiomatic structures as well as general constructions. The method enables feature structure retrieval via multiple indices. The indexing mechanism, when used with a semantic head driven generation algorithm, attains efficient generation even when a large amount of generation knowledge must be considered. Our method can produce all possible structures in parallel, using structure sharing among ambiguous substructures.