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Deriving rhetorical complexity data from the RST-DT Corpus

Williams, Sandra and Power, Richard (2008). Deriving rhetorical complexity data from the RST-DT Corpus. In: Proceedings of the Sixth International Language Resources and Evaluation (LREC'08), 28-30 May 2008, Marrakech, Morocco.

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Abstract

This paper describes a study of the levels at which different rhetorical relations occur in rhetorical structure trees. In a previous empirical study (Williams and Reiter, 2003) of the RST-DT (Rhetorical Structure Theory Discourse Treebank) Corpus (Carlson et al., 2003), we noticed that certain rhetorical relations tended to occur more frequently at higher levels in a rhetorical structure tree, whereas others seemed to occur more often at lower levels. The present study takes a closer look at the data, partly to test this observation, and partly to investigate related issues such as the relative complexity of satellite and nucleus for each type of relation. One practical application of this investigation would be to guide discourse planning in Natural Language Generation (NLG), so that it reflects more accurately the structures found in documents written by human authors. We present our preliminary findings and discuss their relevance for discourse planning.

Item Type: Conference Item
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 10333
Depositing User: Sandra Williams
Date Deposited: 18 Aug 2008 06:33
Last Modified: 24 Feb 2016 04:48
URI: http://oro.open.ac.uk/id/eprint/10333
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