31 citations · 49 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 2 cited
Exploiting Global Contextual Information for Document-level Named Entity Recognition
Zanbo Wang, Wei Wei, Xianling Mao +4
Most existing named entity recognition (NER) approaches are based on sequence labeling models, which focus on capturing the local context dependencies. However, the way of taking o…
cs.CL2020★ 16 cited
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models
Zhiyong He, Zanbo Wang, Wei Wei +3
Sequence labeling (SL) is a fundamental research problem encompassing a variety of tasks, e.g., part-of-speech (POS) tagging, named entity recognition (NER), text chunking, etc. Th…
cs.CL2019★ 31 cited
Position-Aware Self-Attention based Neural Sequence Labeling
Wei Wei, Zanbo Wang, Xianling Mao +3
Sequence labeling is a fundamental task in natural language processing and has been widely studied. Recently, RNN-based sequence labeling models have increasingly gained attentions…