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
- Editors:
- Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch
- Venue:
- BEA
- SIG:
- SIGEDU
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 46–51
- Language:
- URL:
- https://aclanthology.org/W19-4405
- DOI:
- 10.18653/v1/W19-4405
- 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., BEA 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/W19-4405.pdf