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Chinese Word Segmentation

Chinese word segmentation is the task of splitting Chinese text (i.e. a sequence of Chinese characters) into words (Source: www.nlpprogress.com).

Papers

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Showing 71–80 of 244 papers

TitleStatusHype
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs—0
Investigating Self-Attention Network for Chinese Word SegmentationCode0
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer EncoderCode0
PKUSEG: A Toolkit for Multi-Domain Chinese Word SegmentationCode0
Shrinking Japanese Morphological Analyzers With Neural Networks and Semi-supervised Learning—0
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation—0
A realistic and robust model for Chinese word segmentation—0
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?—0
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization—0
A Graph-based Model for Joint Chinese Word Segmentation and Dependency ParsingCode0
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