Discourse strategies for generating natural-language text
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Introduction to Ethernet Switching
Introduction to Ethernet Switching
Discourse structures for text generation
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Information Processing and Management: an International Journal
Tense and aspect assignment in narrative discourse
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
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In this paper, we present a method for generating French texts conveying temporal information that integrates Discourse Representation Theory (DRT) and Systemic Grammar Theory. DRT is used to represent temporal information and an intermediate semantic level for the temporal localization expressed by temporal adverbial phrases and verb phrases. This representation is then translated into a syntactic form using Systemic Grammar Theory. We have implemented this method in a working prototype called Prétexte.