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• W2056416066 abstract "In spite of the long tradition of Rhetorical Structure Theory (RST) in computational linguistics, there is no robust method capable of detecting rhetorical relations in the text of discourse. To pave the way for development of such techniques, we carried out experiments aimed at understanding the effectiveness of using corpus-based lexical cues in the identification of RST relations for three different relations and across two different text genres. In particular, we focused on the three relations of CIRCUMSTANCE, EVALUATION, and ELABORATION and two different corpora: newspaper articles and online reviews. The analysis results indicate that the cue-based approaches can be quite effective in detecting CIRCUMSTANCE. However, the ability of lexical cues in relation identification is limited for ELABORATION. For the EVALUATION relation, genre-specific factors can play a more significant role." @default.
• W2056416066 created "2016-06-24" @default.
• W2056416066 creator A5007412395 @default.
• W2056416066 creator A5051013812 @default.
• W2056416066 date "2015-02-01" @default.
• W2056416066 modified "2023-09-30" @default.
• W2056416066 title "Corpus-based analysis of rhetorical relations: A study of lexical cues" @default.
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• W2056416066 doi "https://doi.org/10.1109/icosc.2015.7050842" @default.
• W2056416066 hasPublicationYear "2015" @default.
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