Highlight-Transformer: Leveraging Key Phrase Aware Attention to Improve Abstractive Multi-Document Summarization

Shuaiqi Liu, Jiannong Cao, Ruosong Yang, Zhiyuan Wen


Anthology ID:
2021.findings-acl.445
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
5021–5027
Language:
URL:
https://aclanthology.org/2021.findings-acl.445
DOI:
10.18653/v1/2021.findings-acl.445
Bibkey:
Cite (ACL):
Shuaiqi Liu, Jiannong Cao, Ruosong Yang, and Zhiyuan Wen. 2021. Highlight-Transformer: Leveraging Key Phrase Aware Attention to Improve Abstractive Multi-Document Summarization. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 5021–5027, Online. Association for Computational Linguistics.
Cite (Informal):
Highlight-Transformer: Leveraging Key Phrase Aware Attention to Improve Abstractive Multi-Document Summarization (Liu et al., Findings 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/update-css-js/2021.findings-acl.445.pdf
Data
Multi-News