Meta self-training for few-shot neural sequence labeling

Y Wang, S Mukherjee, H Chu, Y Tu, M Wu… - Proceedings of the 27th …, 2021 - dl.acm.org
Neural sequence labeling is widely adopted for many Natural Language Processing (NLP)
tasks, such as Named Entity Recognition (NER) and slot tagging for dialog systems and …
被引用次数：109 相关文章
[PDF] microsoft.com

[PDF][PDF] Meta Self-training for Few-shot Neural Sequence Labeling

Y Wang, S Mukherjee, H Chu, Y Tu, M Wu… - … Discovery & Data …, 2021 - microsoft.com
Neural sequence labeling is widely adopted for many Natural Language Processing (NLP)
tasks, such as Named Entity Recognition (NER) and slot tagging for dialog systems and …

Adaptive Self-training for Few-shot Neural Sequence Labeling

Y Wang, S Mukherjee, H Chu, Y Tu, M Wu… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Sequence labeling is an important technique employed for many Natural Language
Processing (NLP) tasks, such as Named Entity Recognition (NER), slot tagging for dialog …
[PDF] nsf.gov

[PDF][PDF] Meta Self-training for Few-shot Neural Sequence Labeling

Y Wang, S Mukherjee, H Chu, Y Tu, M Wu… - Proceedings of the 27th …, 2021 - par.nsf.gov
Neural sequence labeling is widely adopted for many Natural Language Processing (NLP)
tasks, such as Named Entity Recognition (NER) and slot tagging for dialog systems and …

Adaptive Self-training for Few-shot Neural Sequence Labeling

Y Wang, S Mukherjee, H Chu, Y Tu, M Wu… - arXiv preprint arXiv …, 2020 - arxiv.org
Sequence labeling is an important technique employed for many Natural Language
Processing (NLP) tasks, such as Named Entity Recognition (NER), slot tagging for dialog …