Speaking of actions: choosing rhetorical status and grammatical form in instructional text generation
Machine Learning
Customizing RST for the Automatic Production of Technical Manuals
Proceedings of the 6th International Workshop on Natural Language Generation: Aspects of Automated Natural Language Generation
An overview of the Nigel text generation grammar
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Expressing rhetorical relations in instructional text: a case study of the purpose relation
Computational Linguistics
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This study employs a knowledge intensive corpus analysis to identify the elements of the communicative context which can be used to determine the appropriate lexical and grammatical form of instructional texts. IMAGENE, an instructional text generation system based on this analysis, is presented, particularly with reference to its expression of precondition relations.