Toward Fully Exploiting Heterogeneous Corpus:A Decoupled Named Entity Recognition Model with Two-stage Training
Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng, Jie Zhou
- Anthology ID:
- 2021.findings-acl.143
- 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:
- 1641–1652
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.143
- DOI:
- 10.18653/v1/2021.findings-acl.143
- Cite (ACL):
- Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng, and Jie Zhou. 2021. Toward Fully Exploiting Heterogeneous Corpus:A Decoupled Named Entity Recognition Model with Two-stage Training. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1641–1652, Online. Association for Computational Linguistics.
- Cite (Informal):
- Toward Fully Exploiting Heterogeneous Corpus:A Decoupled Named Entity Recognition Model with Two-stage Training (Hu et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.findings-acl.143.pdf
- Data
- Weibo NER