Paper Info
Title
Corpus-based analysis of rhetorical relations: A study of lexical cues
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.
Year
DOI
Venue
2015
10.1109/ICOSC.2015.7050842
Semantic Computing
Keywords
Field
DocType
natural language processing,text analysis,rst relations,circumstance relation,corpus-based analysis,elaboration relation,evaluation relation,genre-specific factors,lexical cues,newspaper articles,online reviews,relation identification,rhetorical relations,rhetorical structure theory,written text relations,measurement,lead,robustness
Rhetorical Structure Theory,Computer science,Computational linguistics,Rhetorical question,Newspaper,Robustness (computer science),Elaboration,Linguistics,Spite
Conference
ISSN
Citations 
PageRank 
2325-6516
2
0.36
References 
Authors
15
2
Name
Order
Citations
PageRank
Taraneh Khazaei1164.42
Lu Xiao2389.44