Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization

Maxime Peyrard, Judith Eckle-Kohler


Anthology ID:
P16-1172
Volume:
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Katrin Erk, Noah A. Smith
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1825–1836
Language:
URL:
https://aclanthology.org/P16-1172
DOI:
10.18653/v1/P16-1172
Bibkey:
Cite (ACL):
Maxime Peyrard and Judith Eckle-Kohler. 2016. Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1825–1836, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization (Peyrard & Eckle-Kohler, ACL 2016)
Copy Citation:
PDF:
https://aclanthology.org/P16-1172.pdf
Note:
 P16-1172.Notes.pdf