Text-to-Text Surface Realisation Using Dependency-Tree Replacement

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 linguisticallyoriented by design, and which may be able to provide only minimal input knowledge to the NLG module. Key words: Natural Language Generation, Surface Realisation

• Type: Journal
• Year: 2010
• Where: IBERAMIA
• Authors: Eder Miranda de Novais, Thiago Dias Tadeu, Ivandré Paraboni
• Keywords: Artificial Intelligence, IBERAMIA 2010, Natural Language, Natural Language Generation, Surface Realisation