Extractive Summarization by Maximizing Semantic Volume

Dani Yogatama, Fei Liu, Noah A. Smith


Anthology ID:
D15-1228
Volume:
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Month:
September
Year:
2015
Address:
Lisbon, Portugal
Editors:
Lluís Màrquez, Chris Callison-Burch, Jian Su
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1961–1966
Language:
URL:
https://aclanthology.org/D15-1228
DOI:
10.18653/v1/D15-1228
Bibkey:
Cite (ACL):
Dani Yogatama, Fei Liu, and Noah A. Smith. 2015. Extractive Summarization by Maximizing Semantic Volume. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1961–1966, Lisbon, Portugal. Association for Computational Linguistics.
Cite (Informal):
Extractive Summarization by Maximizing Semantic Volume (Yogatama et al., EMNLP 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-3/D15-1228.pdf