A framework for stylistically controlled generation

D.S. Paiva, Roger Evans

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNChapter

Abstract

In this paper we describe a framework for stylistic control of the generation process. The approach correlates stylistic dimensions obtained from a corpus-based factor analysis with internal generator decisions, and uses the correlation to direct the generator towards particular style settings. We illustrate this approach with a prototype generator of medical information. We compare our framework with previous approaches according to how they define, characterise and specify style and how effective they are at controlling it, arguing that our framework offers a generic, practical, evaluable approach to the problem of stylistic control.
Original languageEnglish
Title of host publicationNatural language generation: third international conference, INLG 2004 Brockenhurst, UK, July 14-16, 2004 Proceedings
EditorsAnja Belz, Roger Evans, P. Piwek
Place of PublicationHeidelburg, Germany
PublisherSpringer
Pages120-129
Number of pages10
Volume3123/2004
ISBN (Print)9783540223405
DOIs
Publication statusPublished - 2004

Publication series

NameLecture notes in computer science

Fingerprint

Factor analysis

Bibliographical note

The original publication is available at www.springerlink.com

Keywords

  • Natural language generation

Cite this

Paiva, D. S., & Evans, R. (2004). A framework for stylistically controlled generation. In A. Belz, R. Evans, & P. Piwek (Eds.), Natural language generation: third international conference, INLG 2004 Brockenhurst, UK, July 14-16, 2004 Proceedings (Vol. 3123/2004, pp. 120-129). (Lecture notes in computer science). Heidelburg, Germany: Springer. https://doi.org/10.1007/978-3-540-27823-8_13
Paiva, D.S. ; Evans, Roger. / A framework for stylistically controlled generation. Natural language generation: third international conference, INLG 2004 Brockenhurst, UK, July 14-16, 2004 Proceedings. editor / Anja Belz ; Roger Evans ; P. Piwek. Vol. 3123/2004 Heidelburg, Germany : Springer, 2004. pp. 120-129 (Lecture notes in computer science).
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Paiva, DS & Evans, R 2004, A framework for stylistically controlled generation. in A Belz, R Evans & P Piwek (eds), Natural language generation: third international conference, INLG 2004 Brockenhurst, UK, July 14-16, 2004 Proceedings. vol. 3123/2004, Lecture notes in computer science, Springer, Heidelburg, Germany, pp. 120-129. https://doi.org/10.1007/978-3-540-27823-8_13

A framework for stylistically controlled generation. / Paiva, D.S.; Evans, Roger.

Natural language generation: third international conference, INLG 2004 Brockenhurst, UK, July 14-16, 2004 Proceedings. ed. / Anja Belz; Roger Evans; P. Piwek. Vol. 3123/2004 Heidelburg, Germany : Springer, 2004. p. 120-129 (Lecture notes in computer science).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNChapter

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AB - In this paper we describe a framework for stylistic control of the generation process. The approach correlates stylistic dimensions obtained from a corpus-based factor analysis with internal generator decisions, and uses the correlation to direct the generator towards particular style settings. We illustrate this approach with a prototype generator of medical information. We compare our framework with previous approaches according to how they define, characterise and specify style and how effective they are at controlling it, arguing that our framework offers a generic, practical, evaluable approach to the problem of stylistic control.

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BT - Natural language generation: third international conference, INLG 2004 Brockenhurst, UK, July 14-16, 2004 Proceedings

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Paiva DS, Evans R. A framework for stylistically controlled generation. In Belz A, Evans R, Piwek P, editors, Natural language generation: third international conference, INLG 2004 Brockenhurst, UK, July 14-16, 2004 Proceedings. Vol. 3123/2004. Heidelburg, Germany: Springer. 2004. p. 120-129. (Lecture notes in computer science). https://doi.org/10.1007/978-3-540-27823-8_13