From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
Ranran Haoran Zhang, Bensu Uçar, Soumik Dey, Hansi Wu, Binbin Li, Rui Zhang
- Anthology ID:
- 2025.findings-naacl.1
- Volume:
- Findings of the Association for Computational Linguistics: NAACL 2025
- Month:
- April
- Year:
- 2025
- Address:
- Albuquerque, New Mexico
- Editors:
- Luis Chiruzzo, Alan Ritter, Lu Wang
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–16
- Language:
- URL:
- https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2025.findings-naacl.1/
- DOI:
- Cite (ACL):
- Ranran Haoran Zhang, Bensu Uçar, Soumik Dey, Hansi Wu, Binbin Li, and Rui Zhang. 2025. From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 1–16, Albuquerque, New Mexico. Association for Computational Linguistics.
- Cite (Informal):
- From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning (Zhang et al., Findings 2025)
- PDF:
- https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2025.findings-naacl.1.pdf