Abstract
We describe COHERE, our coherence toolkit which incorporates various complementary models for capturing and measuring different aspects of text coherence. In addition to the traditional entity grid model (Lapata, 2005) and graph-based metric (Guinaudeau and Strube, 2013), we provide an implementation of a state-of-the-art syntax-based model (Louis and Nenkova, 2012), as well as an adaptation of this model which shows significant performance improvements in our experiments. We benchmark these models using the standard setting for text coherence: original documents and versions of the document with sentences in shuffled order.- Anthology ID:
- L16-1649
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 4111–4114
- Language:
- URL:
- https://aclanthology.org/L16-1649
- DOI:
- Cite (ACL):
- Karin Sim Smith, Wilker Aziz, and Lucia Specia. 2016. Cohere: A Toolkit for Local Coherence. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4111–4114, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- Cohere: A Toolkit for Local Coherence (Smith et al., LREC 2016)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/L16-1649.pdf
- Code
- karins/CoherenceFramework