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
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
903–911
Language:
URL:
https://aclanthology.org/N10-1133
DOI:
Bibkey:
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)
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PDF:
https://aclanthology.org/N10-1133.pdf