Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees

Chen Li, Yang Liu, Fei Liu, Lin Zhao, Fuliang Weng


Anthology ID:
D14-1076
Volume:
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
October
Year:
2014
Address:
Doha, Qatar
Editors:
Alessandro Moschitti, Bo Pang, Walter Daelemans
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
691–701
Language:
URL:
https://aclanthology.org/D14-1076
DOI:
10.3115/v1/D14-1076
Bibkey:
Cite (ACL):
Chen Li, Yang Liu, Fei Liu, Lin Zhao, and Fuliang Weng. 2014. Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 691–701, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees (Li et al., EMNLP 2014)
Copy Citation:
PDF:
https://aclanthology.org/D14-1076.pdf
Data
Sentence Compression