Getting the message across in RST-based text generation
Current research in natural language generation
A problem for RST: the need for multi-level discourse analysis
Computational Linguistics
CLAWS4: the tagging of the British National Corpus
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Language-specific mappings from semantics to syntax
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Robust discourse parsing via discourse markers, topicality and position
Natural Language Engineering
Using automatically labelled examples to classify rhetorical relations: An assessment
Natural Language Engineering
Cueing the virtual storyteller: analysis of cue phrase usage in fairy tales
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Reliable discourse markers for contrast relations
IWCS-8 '09 Proceedings of the Eighth International Conference on Computational Semantics
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Most studies on discourse markers implicitly assume that only one marker or discourse relation will occur in a sentence. In reality, more than one relation may hold between text spans and may be cued by multiple discourse markers. We describe here a method for hierarchically organising discourse markers. The hierarchies are intended for use by a generation system to enable the selection and placement of more than one marker in a single text span.