Learning To Split and Rephrase From Wikipedia Edit History
Jan A. Botha, Manaal Faruqui, John Alex, Jason Baldridge, Dipanjan Das
Abstract
Split and rephrase is the task of breaking down a sentence into shorter ones that together convey the same meaning. We extract a rich new dataset for this task by mining Wikipedia’s edit history: WikiSplit contains one million naturally occurring sentence rewrites, providing sixty times more distinct split examples and a ninety times larger vocabulary than the WebSplit corpus introduced by Narayan et al. (2017) as a benchmark for this task. Incorporating WikiSplit as training data produces a model with qualitatively better predictions that score 32 BLEU points above the prior best result on the WebSplit benchmark.- Anthology ID:
- D18-1080
- Volume:
- Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Month:
- October-November
- Year:
- 2018
- Address:
- Brussels, Belgium
- Editors:
- Ellen Riloff, David Chiang, Julia Hockenmaier, Jun’ichi Tsujii
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 732–737
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/D18-1080/
- DOI:
- 10.18653/v1/D18-1080
- Cite (ACL):
- Jan A. Botha, Manaal Faruqui, John Alex, Jason Baldridge, and Dipanjan Das. 2018. Learning To Split and Rephrase From Wikipedia Edit History. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 732–737, Brussels, Belgium. Association for Computational Linguistics.
- Cite (Informal):
- Learning To Split and Rephrase From Wikipedia Edit History (Botha et al., EMNLP 2018)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/D18-1080.pdf
- Data
- WikiSplit, WebNLG