78 citations · 87 across the 2 of their papers we have counts for
3 papers
cs.CL2019★ 78 cited
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation
Fangzhao Wu, Junxin Liu, Chuhan Wu +2
Chinese named entity recognition (CNER) is an important task in Chinese natural language processing field. However, CNER is very challenging since Chinese entity names are highly c…
cs.CL2019★ 9 cited
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization
Junxin Liu, Fangzhao Wu, Chuhan Wu +2
Existing methods for CWS usually rely on a large number of labeled sentences to train word segmentation models, which are expensive and time-consuming to annotate. Luckily, the unl…
cs.CL2018
Neural Chinese Word Segmentation with Dictionary Knowledge
Junxin Liu, Fangzhao Wu, Chuhan Wu +2
Chinese word segmentation (CWS) is an important task for Chinese NLP. Recently, many neural network based methods have been proposed for CWS. However, these methods require a large…