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        <title>A Joint Model for Structure-based News Genre Classification with Application to Text Summarization</title>
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    <identifier type="doi">10.18653/v1/2021.findings-acl.295</identifier>
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%0 Conference Proceedings
%T A Joint Model for Structure-based News Genre Classification with Application to Text Summarization
%A Dai, Zeyu
%A Huang, Ruihong
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 aug
%I Association for Computational Linguistics
%C Online
%F dai-huang-2021-joint
%R 10.18653/v1/2021.findings-acl.295
%U https://aclanthology.org/2021.findings-acl.295
%U https://doi.org/10.18653/v1/2021.findings-acl.295
%P 3332-3342

Markdown (Informal)

[A Joint Model for Structure-based News Genre Classification with Application to Text Summarization](https://aclanthology.org/2021.findings-acl.295) (Dai & Huang, Findings 2021)

• A Joint Model for Structure-based News Genre Classification with Application to Text Summarization (Dai & Huang, Findings 2021)

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.