Automatic Text Simplification for Social Good: Progress and Challenges - ACL Anthology

This is an internal, incomplete preview of a proposed change to the ACL Anthology. For efficiency reasons, we generate only three BibTeX files per volume, and the preview may be incomplete in other ways, or contain mistakes. Do not treat this content as an official publication.

Automatic Text Simplification for Social Good: Progress and Challenges

Anthology ID:: 2021.findings-acl.233
Volume:: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:: August
Year:: 2021
Address:: Online
Editors:: Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:: Findings
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 2637–2652
Language:
URL:: https://aclanthology.org/2021.findings-acl.233
DOI:: 10.18653/v1/2021.findings-acl.233
Bibkey:
Cite (ACL):: Sanja Stajner. 2021. Automatic Text Simplification for Social Good: Progress and Challenges. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2637–2652, Online. Association for Computational Linguistics.
Cite (Informal):: Automatic Text Simplification for Social Good: Progress and Challenges (Stajner, Findings 2021)
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PDF:: https://preview.aclanthology.org/naacl-24-ws-corrections/2021.findings-acl.233.pdf
Video:: https://preview.aclanthology.org/naacl-24-ws-corrections/2021.findings-acl.233.mp4
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