Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Issues of Multilinguality in the Automatic Generation of Administrative Instructional Texts
AI*IA '95 Proceedings of the 4th Congress of the Italian Association for Artificial Intelligence on Topics in Artificial Intelligence
Pronominalization in generated discourse and dialogue
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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In this paper we analyse the problem of generating referring expressions in a multilingual generation system that produces instructions on how to fill out pension forms. The model we propose is an implementation of theoretical investigations of Martin and is based on a clear representation of the knowledge sources and choices that contribute to the identification of the most appropriate linguistic expressions. To cope effectively with pronominalization we propose to augment the Centering Model with mechanisms exploiting the discourse structure. At every stage of the referring expressions generation process issues raised by multilinguality are considered and dealt with by means of rules customized with respect to the output language.