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Up to date, linguistic rhythm has been studied for speech, but the rhythm of written texts has been merely recognized, and not analyzed or interpreted in connection to natural language tasks. We provide an extension of the textual rhythmic features we proposed in previous work, and demonstrate its benefits for the task of text categorization. Rhythmic features require that the text be segmented in rhythmic units, the sentence being the default unit. We compute our features using three kinds of rhythmic units, provide a comparison between their relevance, and use the results to outline the rhetorical nature of rhythm.
|Title of host publication||15th RoEduNet Conference: Networking in Education and Research|
|Publication status||Published - 24 Nov 2016|
|Event||15th Int. Conf. on Networking in Education and Research (RoEduNet) - Bucharest, Romania|
Duration: 7 Sept 2016 → 9 Sept 2016
|Conference||15th Int. Conf. on Networking in Education and Research (RoEduNet)|
|Period||7/09/16 → 9/09/16|
- discourse segmentation
- Rhetorical Structure Theory
- RST Discourse Treebank
- text categorization
- Natural Language Processing
- discourse analysis
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Rage: Realising an Applied Gaming Eco-system
Westera, W., Georgiadis, K., Saveski, G., van Lankveld, G., Bahreini, K., van der Vegt, W., Berkhout, J., Nyamsuren, E., Kluijfhout, E. & Nadolski, R.
1/02/15 → 31/07/19