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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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
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