TY - GEN
T1 - Corpus-based analysis of rhetorical relations
T2 - 9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015
AU - Khazaei, Taraneh
AU - Xiao, Lu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/26
Y1 - 2015/2/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84925624643&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84925624643&partnerID=8YFLogxK
U2 - 10.1109/ICOSC.2015.7050842
DO - 10.1109/ICOSC.2015.7050842
M3 - Conference contribution
AN - SCOPUS:84925624643
T3 - Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015
SP - 417
EP - 423
BT - Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015
A2 - Kankanhalli, Mohan S.
A2 - Li, Tao
A2 - Wang, Wei
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 February 2015 through 9 February 2015
ER -