Information-based Case Grammar

  • Authors:

  • Keh-jiann Chen;Chu-Ren Huang

  • Affiliations:

  • Institute of Information Science, Academia Sinica, Taipei, Taiwan, R.O.C.;Institute of History and Philogy, Academia Sinica, Taipei, Taiwan, R.O.C.

  • Venue:
  • COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
  • Year:
  • 1990

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Abstract

In this paper we propose a framework of Information-based Case Grammar (ICG). This grammatical formalism entails that the lexical entry for each word contain both semantic and syntactic feature structures. In the feature structure of a phrasal head, we encode syntactic and semantic constraints on grammatical phrasal patterns in terms of thematic structures, and encode the precedence relations in terms of adjunct structures. Such feature structures denote partial information which defines the set of legal phrases. They also provide sufficient information to identify thematic roles. With this formalism, parsing and thematic analysis can be achieved simultaneously. Due to the simplicity and flexibility of Information-based Case Grammar, context dependent and discontinuous relations such as agreements, coordinations, long-distance dependencies, and control and binding, can be easily expressed. ICG is a kind of unification-based formalism. Therefore it inherits the advantages of unification-based formalisms and more.