Integrating Syntax, Semantics, and Discourse DARPA Natural Language Understanding Program

Abstract

The lexical reader has been modified to allow the PUNDIT Natural Language Processing system to recognize abbreviations ending in periods. PUNDIT previously had not been able to distinguish between periods ending abbreviations and periods ending sentences; consequently, it was not able to parse sentences with internal punctuation. Several meetings have been held to identify a discrete yet useful arena for developing a more flexible control strategy in syntactic and semantic processing of text. Currently, Pundit's control mechanism flows from the syntactic module. (Semantic data is used as a filter on the syntax, via the recently implemented selectional component, but this filtering does not change the control structure). The meetings have focused on the distribution of lexical information, which is dispersed both in the lexicon used by the syntactic parser and in the semantic lexical entries with their associated syntactic mapping rules. One proposal that has emerged would exploit the semantic component's potential to predict verb transitivity on the basis of selectional information and thereby handle the phenomenon of transitivity alternation, i.e., verbs which have transitive and intransitive uses. This would be useful because many verbs in English exhibit transitivity alternations.

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Document Details

Document Type
Technical Report
Publication Date
Nov 19, 1986
Accession Number
ADA175282

Entities

People

  • Lynette Hirschman

Organizations

  • System Development Corporation

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Contractors
  • Contracts
  • Environment
  • Filtration
  • Language
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages
  • Operating Systems
  • Semantics

Fields of Study

  • Linguistics

Readers

  • Computational Linguistics
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation