Automatic Informative Abstracting and Extracting

Abstract

Part I of this report documents several experiments in automatic indexing. Nine chapters, each from a different technical book were used as the text copies for all the experiments. In the first experiment, an attempt was made to construct a sentence dictionary of syntactic sentence types, for distinguishing extract-worthy sentences, but it proved unrewarding. Algorithms developed to combine syntactic and statistical criteria in the choice of extract sentences and index phrases proved more rewarding. Extract sentences and index noun phrases from several texts are presented for the reader to peruse. There is every indication that satisfactory back-of-the-book indexes could be produced automatically, with post-editing to delete superfluous items. Part II reports on the relationship between English word government and the problem of multiple meaning in material language processing. A set of English words is discussed, each of which has the ability to distinguish among semantic meanings by the use of certain syntactic units such as prepositions. Because prepositions play an important role in making semantic distinctions, a section on prepositional semantics is included.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1970
Accession Number
AD0867656

Entities

People

  • Harold R. Robison
  • Lois L. Earl

Organizations

  • Lockheed Martin Missiles and Space

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Chemistry
  • Classification
  • Computer Programs
  • Computer Science
  • Computers
  • Databases
  • Dictionaries
  • Governments
  • Index Terms
  • Information Science
  • Language
  • Materials
  • Military Research
  • Natural Language Processing
  • Natural Languages
  • United States

Readers

  • Computational Linguistics