Abstract
Surface realisation - the task of producing word strings from non-linguistic input data - has been the focus of a great deal of research in the field of data-to-text Natural Language Generation (NLG). In this work we discuss an alternative approach to surface realisation, in which we borrow NLG techniques from the sister field of text-to-text generation to implement text generation based on examples in natural language. Our approach is suitable to simpler applications that are not linguistically-oriented by design, and which may be able to provide only minimal input knowledge to the NLG module.
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de Novais, E.M., Dias Tadeu, T., Paraboni, I. (2010). Text-to-Text Surface Realisation Using Dependency-Tree Replacement. In: Kuri-Morales, A., Simari, G.R. (eds) Advances in Artificial Intelligence – IBERAMIA 2010. IBERAMIA 2010. Lecture Notes in Computer Science(), vol 6433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16952-6_33
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DOI: https://doi.org/10.1007/978-3-642-16952-6_33
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