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Referent Grammar In Text Generation

Sigurd, Bengt LU (1991) In Kluwer International Series in Engineering and Computer Science 6. p.315-327
Abstract (Swedish)
A text may be seen as the result of input from the external world and human internal aspects on it. The paper shows how the same event — a submarine following a trawler — may give rise to different types (genres) of text, e.g., a report on the facts, an evaluation of the facts, a summary of the most important features against the background of previous events, or a mixture of some or all of these.

As is well known, it is difficult to teach a computer how to generate interesting and varying text including more abstract, evaluative and summarizing comments. The paper shows how different predicates, e.g., be, go, sail, follow, attack give information of varying interest and how the computer may calculate the news value of an event on... (More)
A text may be seen as the result of input from the external world and human internal aspects on it. The paper shows how the same event — a submarine following a trawler — may give rise to different types (genres) of text, e.g., a report on the facts, an evaluation of the facts, a summary of the most important features against the background of previous events, or a mixture of some or all of these.

As is well known, it is difficult to teach a computer how to generate interesting and varying text including more abstract, evaluative and summarizing comments. The paper shows how different predicates, e.g., be, go, sail, follow, attack give information of varying interest and how the computer may calculate the news value of an event on the basis of the amount of interest of the predicates and the objects involved. The bulk of the paper demonstrates how Referent Grammar (RG) — a generalized phrase structure grammar with built-in referents — offers a convenient way of keeping track of both the sentence and the discourse referents. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Natural Language Generation in Artificial Intelligence and Computational Linguistics
series title
Kluwer International Series in Engineering and Computer Science
editor
Paris, Cécile L. ; Swartout, William R. and ParisSwartout, William C. Mann
volume
6
pages
13 pages
publisher
Springer
ISSN
0893-3405
ISBN
978-0-7923-9098-5
978-1-4419-5125-0
978-1-4757-5945-7
DOI
10.1007/978-1-4757-5945-7_12
language
English
LU publication?
yes
id
9dddacda-0386-4ff3-89eb-218f14d8d38c
date added to LUP
2022-03-04 10:49:42
date last changed
2022-03-04 10:49:42
@inbook{9dddacda-0386-4ff3-89eb-218f14d8d38c,
  abstract     = {{A text may be seen as the result of input from the external world and human internal aspects on it. The paper shows how the same event — a submarine following a trawler — may give rise to different types (genres) of text, e.g., a report on the facts, an evaluation of the facts, a summary of the most important features against the background of previous events, or a mixture of some or all of these.<br/><br/>As is well known, it is difficult to teach a computer how to generate interesting and varying text including more abstract, evaluative and summarizing comments. The paper shows how different predicates, e.g., be, go, sail, follow, attack give information of varying interest and how the computer may calculate the news value of an event on the basis of the amount of interest of the predicates and the objects involved. The bulk of the paper demonstrates how Referent Grammar (RG) — a generalized phrase structure grammar with built-in referents — offers a convenient way of keeping track of both the sentence and the discourse referents.}},
  author       = {{Sigurd, Bengt}},
  booktitle    = {{Natural Language Generation in Artificial Intelligence and Computational Linguistics}},
  editor       = {{Paris, Cécile L. and Swartout, William R. and ParisSwartout, William C. Mann}},
  isbn         = {{978-0-7923-9098-5}},
  issn         = {{0893-3405}},
  language     = {{eng}},
  pages        = {{315--327}},
  publisher    = {{Springer}},
  series       = {{Kluwer International Series in Engineering and Computer Science}},
  title        = {{Referent Grammar In Text Generation}},
  url          = {{http://dx.doi.org/10.1007/978-1-4757-5945-7_12}},
  doi          = {{10.1007/978-1-4757-5945-7_12}},
  volume       = {{6}},
  year         = {{1991}},
}