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Salience-Driven Text Planning

  • Conference paper
Natural Language Generation (INLG 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3123))

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Abstract

We present an algorithm for hierarchical text planning of paragraphs involving object descriptions, comparisons and recommendations. Building on previous work on bottom-up text planning and user-tailored text generation, we develop a numerical model of ‘propositional salience’ to capture both speaker’s intentions and local coherence in a single framework for generating complex discourse structures.

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References

  1. Britton, B.K., Schaefer, P., Bryan, M., Silverman, S., Sorrells, R.: Thinking about bodies of knowledge. In: Sanders, T., et al. (eds.) Text Representation: Linguistic and Psycholinguistic Aspects, John Benjamins, Amsterdam (2001)

    Google Scholar 

  2. Carenini, G., Moore, J.: A Strategy for Generating Evaluative Arguments. In: Proc. of INLG 2000, itzpe Ramon, Israel, pp. 47–54 (2000)

    Google Scholar 

  3. Eddy, B.: Toward balancing conciseness, readability and salience: an integrated architecture. In: Proc. of INLG 2002, Columbia University/NY, pp. 173–178 (2002)

    Google Scholar 

  4. Givón, T.: Syntax, vol. II. John Benjamins, Amsterdam (2001)

    Google Scholar 

  5. Karamanis, N., Manurung, H.M.: Stochastic Text Structuring using the Principle of Continuity. In: Proc. of INLG 2002, Columbia University/NY, pp. 81–88 (2002)

    Google Scholar 

  6. Kibble, R., Power, R.: An integrated framework for text planning and pronominalization. In: Proc. of INLG 2000, Mizpe Ramon, Israel, pp. 77–84 (2000)

    Google Scholar 

  7. Mann, W.C., Thompson, S.A.: Rhetorical Structure Theory: Toward a functional theory of text organization. Text 8(3), 243–281 (1988)

    Google Scholar 

  8. Marcu, D.: From local to global coherence: A bottom-up approach to text planning. In: Proc. of the 14th National Conference on Artificial Intelligence (AAAI 1997), Providence/RI, pp. 629–635 (1997)

    Google Scholar 

  9. Milosavljevic, M.: Content selection in comparison generation. In: Proc. of the 6th European WS on Natural Language Generation (EWNLG), Duisburg, pp. 72–81 (1997)

    Google Scholar 

  10. O’Donnell, M., Mellish, C.H., Oberlander, J., Knott, A.: IIex: An architecture for a dynamic hypertext generation system. Natural Language Engineering 7 (2001)

    Google Scholar 

  11. Pattabhiraman, T.: Aspects of Salience in Natural Language Generation. PhD Thesis, Simon Fraser University, Vancouver, B.C. (1992)

    Google Scholar 

  12. Prince, E.: Toward a taxonomy of given-new information. In: Cole, P. (ed.) Radical Pragmatics, pp. 223–256. Academic Press, New York (1981)

    Google Scholar 

  13. Reed, C.A.: Saliency and the Attentional State in Natural Language Generation. In: Proc. of the 15th European Conference on AI (ECAI 2002), IOS Press, Lyon (2002)

    Google Scholar 

  14. Stede, M.: Polibox: Generating desciptions, comparisons, and recommendations from a database. In: Proc. of the 19th International Conference on Computational Linguistics (Coling), Taipei (2002)

    Google Scholar 

  15. Traum, D.R.: A Computational Theory of Grounding in Natural Language Conversation. PhD Thesis, Dept. of Computer Science, University of Rochester (1994)

    Google Scholar 

  16. Stent, A., Walker, M., Whittaker, S., Maloor, P.: User-tailored generation for spoken dialogue: An experiment. In: Proc.of ICSLP (2002)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Chiarcos, C., Stede, M. (2004). Salience-Driven Text Planning. In: Belz, A., Evans, R., Piwek, P. (eds) Natural Language Generation. INLG 2004. Lecture Notes in Computer Science(), vol 3123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27823-8_3

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  • DOI: https://doi.org/10.1007/978-3-540-27823-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22340-5

  • Online ISBN: 978-3-540-27823-8

  • eBook Packages: Springer Book Archive

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