Corpus-based analysis of rhetorical relations: A study of lexical cues

Taraneh Khazaei, Lu Xiao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages417-423
Number of pages7
ISBN (Electronic)9781479979356
DOIs
StatePublished - Feb 26 2015
Externally publishedYes
Event9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015 - Anaheim, United States
Duration: Feb 7 2015Feb 9 2015

Other

Other9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015
CountryUnited States
CityAnaheim
Period2/7/152/9/15

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software

Cite this

Khazaei, T., & Xiao, L. (2015). Corpus-based analysis of rhetorical relations: A study of lexical cues. In Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015 (pp. 417-423). [7050842] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOSC.2015.7050842