Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution - ACL Anthology

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Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution

Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder

Anthology ID:: 2021.findings-acl.171
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:: 1952–1957
Language:
URL:: https://preview.aclanthology.org/add_missing_videos/2021.findings-acl.171/
DOI:: 10.18653/v1/2021.findings-acl.171
Bibkey:
Cite (ACL):: Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, and Chris Develder. 2021. Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1952–1957, Online. Association for Computational Linguistics.
Cite (Informal):: Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution (Verlinden et al., Findings 2021)
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PDF:: https://preview.aclanthology.org/add_missing_videos/2021.findings-acl.171.pdf
Video:: https://preview.aclanthology.org/add_missing_videos/2021.findings-acl.171.mp4
Code: klimzaporojets/e2e-kb-ie
Data: DWIE, DocRED

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