A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi
- Anthology ID:
- D16-1033
- Volume:
- Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2016
- Address:
- Austin, Texas
- Editors:
- Jian Su, Kevin Duh, Xavier Carreras
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 340–350
- Language:
- URL:
- https://aclanthology.org/D16-1033
- DOI:
- 10.18653/v1/D16-1033
- Cite (ACL):
- Kristina Toutanova, Chris Brockett, Ke M. Tran, and Saleema Amershi. 2016. A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 340–350, Austin, Texas. Association for Computational Linguistics.
- Cite (Informal):
- A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs (Toutanova et al., EMNLP 2016)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/D16-1033.pdf