Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
Hakan Ceylan, Rada Mihalcea, Umut Özertem, Elena Lloret, Manuel Palomar
- Anthology ID:
- N10-1133
- Volume:
- Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
- Month:
- June
- Year:
- 2010
- Address:
- Los Angeles, California
- Editors:
- Ron Kaplan, Jill Burstein, Mary Harper, Gerald Penn
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 903–911
- Language:
- URL:
- https://aclanthology.org/N10-1133
- DOI:
- Cite (ACL):
- Hakan Ceylan, Rada Mihalcea, Umut Özertem, Elena Lloret, and Manuel Palomar. 2010. Quantifying the Limits and Success of Extractive Summarization Systems Across Domains. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 903–911, Los Angeles, California. Association for Computational Linguistics.
- Cite (Informal):
- Quantifying the Limits and Success of Extractive Summarization Systems Across Domains (Ceylan et al., NAACL 2010)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/N10-1133.pdf