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Knowledge-Based Report Generation: a technique for automatically generating natural language reports from databases

Published: 01 June 1983 Publication History

Abstract

Knowledge-Based Report Generation is a technique for automatically generating natural language summaries from databases. It is so named because it applies the tools of knowledge-based expert systems design to the problem of text generation. The technique is currently being applied to the design of an automatic natural language stock report generator. Examples drawn from the implementation of the stock report generator are used to describe the components of a knowledge-based report generator.

References

[1]
H. Thompson, "Strategy and Tactics: A Model for Language Production," in Papers from the 13th Regional Meeting, Chicago Linguistic Society (1977 ).
[2]
Neil M. Goldman, "Sentence Paraphrasing from a Conceptual Base," CACM18(2) (February 1975 ).
[3]
Kathleen R. McKeown, Generating Relevant Explanations: Natural Language Responses to Questions about Databases, Proc. 1980 AAAI Conf. (August 1980 ).
[4]
E. Jeff Conklin and David D. McDonald, "Salience as a Simplifying Metaphor for Natural Language Generation," pp. 75-78 in Proceedings of the National Conference on Artificial Intelligence, Pittsburgh, PA (August 1982).
[5]
James A. Moore and William C. Mann, "A Snapshot of KDS: A Knowledge Delivery System," in Proceedings of the 17th Annual Meeting of the Association for Computational linguistics, La Jolla, California (11-12 August 1979).
[6]
Roger C. Shank, Conceptual Information Processing, North Holland, Amsterdam, The Netherlands (1975 ).
[7]
Janice S. Aikins, "Representation of Control Knowledge Expert Systems," pp. 121-123 in Proceedings of the First Annual National Conference on Artificial Intelligence, The American Association for Artificial Intelligence, Stanford University (August, 1980 ).
[8]
A. N. Campbell, V. F. Hollister, R. O. Duda, and P. E. Hart, "Recognition of a Hidden Mineral Deposit by an Artificial Intelligence Program," Science217(4563), pp. 927-929 (3 September 1982).
[9]
John J. McDermott, "R1: A Rule-Based Configurer of Computer Systems," Artificial Intelligence19, pp. 39-88 (1982).
[10]
T. J. Kowalski and D. E. Thomas, The VLSI Design Automation Assistant: First Steps, Carnegie-Mellon University Electrical Engineering Department (1982).
[11]
T. J. Kowalski, "Knowledge-Based Expert Systems: An Introduction," 81-11229-19, Bell Laboratories Technical Memorandum (October 15, 1981).
[12]
Richard O. Duda and John G. Gaschnig, "Knowledge-Based Expert Systems Come of Age," Byte, pp. 238-281 (September 1981).
[13]
Zellig Harris, Mathematical Structures of Language, Interscience Publishers, John Wiley & Sons, New York (1968).
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Richard Kittredge and John Lehrberger, Sublanguages: Studies of Language in Restricted Semantic Domains, Walter DeGruyter, New York (in press).
[15]
Joseph Becker, "The Phrasal Lexicon," pp. 70-73 in Theoretical Issues in Natural Language Processing, ed. B. I. Nash-Webber, Cambridge, Massachusetts (10-13 June 1975).

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      cover image ACM Conferences
      SIGIR '83: Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval
      June 1983
      255 pages
      ISBN:0897911075
      DOI:10.1145/511793
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 01 June 1983

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      Author Tags

      1. databases
      2. knowledge-based expert systems
      3. natural language processing
      4. text generation

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