Improving Unsupervised Extractive Summarization with Facet-Aware Modeling

Xinnian Liang, Shuangzhi Wu, Mu Li, Zhoujun Li


Anthology ID:
2021.findings-acl.147
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1685–1697
Language:
URL:
https://aclanthology.org/2021.findings-acl.147
DOI:
10.18653/v1/2021.findings-acl.147
Bibkey:
Cite (ACL):
Xinnian Liang, Shuangzhi Wu, Mu Li, and Zhoujun Li. 2021. Improving Unsupervised Extractive Summarization with Facet-Aware Modeling. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1685–1697, Online. Association for Computational Linguistics.
Cite (Informal):
Improving Unsupervised Extractive Summarization with Facet-Aware Modeling (Liang et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.147.pdf
Data
BillSumMulti-NewsPubmedWikiHowWikiSumarXiv Summarization Dataset