Multiple discourse marker occurrence: creating hierarchies for natural language generation
Proceedings of the workshop on Student research
An unsupervised approach to recognizing discourse relations
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Representing Discourse Coherence: A Corpus-Based Study
Computational Linguistics
Using automatically labelled examples to classify rhetorical relations: An assessment
Natural Language Engineering
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Using the RST annotated corpus [Carlson et al., 2003], we use simple statistics on the distribution of discourse markers or cue phrases as evidence of the three-way distinction of Contrast relations, Contrast, Antithesis and Concession, recognized in standard Rhetorical Structure Theory (RST, Mann and Thompson 1987). We also show that however, an intuitive marker of Contrast, is not actually used statistically significantly more often in Contrast relations than in Cause-Effect relations. These results highlight the need for empirically based discourse marker identification rather than the intuitive method that is the current norm.