GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction - 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.

GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction

Junyi Bian, Li Huang, Xiaodi Huang, Hong Zhou, Shanfeng Zhu

Anthology ID:: 2021.findings-acl.236
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:: 2674–2685
Language:
URL:: https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.236/
DOI:: 10.18653/v1/2021.findings-acl.236
Bibkey:
Cite (ACL):: Junyi Bian, Li Huang, Xiaodi Huang, Hong Zhou, and Shanfeng Zhu. 2021. GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2674–2685, Online. Association for Computational Linguistics.
Cite (Informal):: GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction (Bian et al., Findings 2021)
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PDF:: https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.236.pdf
Video:: https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.236.mp4

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