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Combining Discrete and Neural Features for Sequence Labeling

Combining Discrete and Neural Features for Sequence Labeling

24 August 2017
Jie Yang
Zhiyang Teng
Meishan Zhang
Yue Zhang
ArXivPDFHTML

Papers citing "Combining Discrete and Neural Features for Sequence Labeling"

4 / 4 papers shown
Title
Unsupervised Boundary-Aware Language Model Pretraining for Chinese
  Sequence Labeling
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
Peijie Jiang
Dingkun Long
Yanzhao Zhang
Pengjun Xie
Meishan Zhang
Hao Fei
SSL
30
12
0
27 Oct 2022
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named
  Entity Recognition
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
Shuang Wu
Xiaoning Song
Zhenhua Feng
44
113
0
12 Jul 2021
Converse Attention Knowledge Transfer for Low-Resource Named Entity
  Recognition
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition
Shengfei Lyu
Linghao Sun
Huixiong Yi
Yong-jin Liu
Huanhuan Chen
Steven C. H. Hoi
21
0
0
04 Jun 2019
Chinese NER Using Lattice LSTM
Chinese NER Using Lattice LSTM
Yue Zhang
Jie Yang
24
666
0
05 May 2018
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