A Joint Model for Structure-based News Genre Classification with Application to Text Summarization

Zeyu Dai, Ruihong Huang


Anthology ID:
2021.findings-acl.295
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:
3332–3342
Language:
URL:
https://aclanthology.org/2021.findings-acl.295
DOI:
10.18653/v1/2021.findings-acl.295
Bibkey:
Cite (ACL):
Zeyu Dai and Ruihong Huang. 2021. A Joint Model for Structure-based News Genre Classification with Application to Text Summarization. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3332–3342, Online. Association for Computational Linguistics.
Cite (Informal):
A Joint Model for Structure-based News Genre Classification with Application to Text Summarization (Dai & Huang, Findings 2021)
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PDF:
https://aclanthology.org/2021.findings-acl.295.pdf