Analysing Rhetorical Structure as a Key Feature of Summary Coherence

Jan Šnajder, Tamara Sladoljev-Agejev, Svjetlana Kolić Vehovec


Abstract
We present a model for automatic scoring of coherence based on comparing the rhetorical structure (RS) of college student summaries in L2 (English) against expert summaries. Coherence is conceptualised as a construct consisting of the rhetorical relation and its arguments. Comparison with expert-assigned scores shows that RS scores correlate with both cohesion and coherence. Furthermore, RS scores improve the accuracy of a regression model for cohesion score prediction.
Anthology ID:
W19-4405
Volume:
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | BEA | WS
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
46–51
Language:
URL:
https://aclanthology.org/W19-4405
DOI:
10.18653/v1/W19-4405
Bibkey:
Cite (ACL):
Jan Šnajder, Tamara Sladoljev-Agejev, and Svjetlana Kolić Vehovec. 2019. Analysing Rhetorical Structure as a Key Feature of Summary Coherence. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 46–51, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Analysing Rhetorical Structure as a Key Feature of Summary Coherence (Šnajder et al., 2019)
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PDF:
https://aclanthology.org/W19-4405.pdf