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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 1–10 of 244 papers

TitleStatusHype
N-LTP: An Open-source Neural Language Technology Platform for ChineseCode3
The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POSCode1
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph ParsingCode1
Sub-Character Tokenization for Chinese Pretrained Language ModelsCode1
Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-gramsCode1
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph EntitiesCode1
RethinkCWS: Is Chinese Word Segmentation a Solved Task?Code1
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph EntitiesCode1
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLPCode1
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word SegmentationCode1
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