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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 11–20 of 244 papers

TitleStatusHype
Sub-Character Tokenization for Chinese Pretrained Language ModelsCode1
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram RepresentationsCode1
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed KnowledgeCode1
Improving Chinese Word Segmentation with Wordhood Memory NetworksCode1
A Grammar-informed Corpus-based Sentence Database for Linguistic and Computational Studies—0
A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks—0
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs—0
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging—0
Active Learning for Chinese Word Segmentation—0
Accurate Linear-Time Chinese Word Segmentation via Embedding Matching—0
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