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| Format: | Artículo científico |
| Language: | en |
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Asociación Española para la Inteligencia Artificial
2010
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| Online Access: | https://www.redalyc.org/articulo.oa?id=92513106007 |
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Table of Contents:
- From Semantic Properties to Surface Text: the Generation of Domain Object Descriptions Diego Jesus de Lucena Daniel Bastos Pereira Ivandré Paraboni Ingeniería Attribute Selection Surface Realisation Referring Expressions Natural Language Generation At both semantic and syntactic levels, the generation of referring expressions (REG) involves far more than simply producing 'correct' output strings and, accordingly, remains central to the study and development of Natural Language Generation (NLG) systems. In particular, REG algorithms have to pay regard to humanlikeness, an issue that lies at the very heart of the classic denition of Articial Intelligence as, e.g., motivated by the Turing test. In this work we present an end-to-end approach to REG that takes humanlikeness into account, addressing both the issues of semantic content determination and surface realisation as natural language. 2010 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92513106007 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.45 Vol.14