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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 51–60 of 244 papers

TitleStatusHype
More than Text: Multi-modal Chinese Word SegmentationCode0
Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical TextsCode0
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation—0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
Segmenting Natural Language Sentences via Lexical Unit Analysis—0
Multi-grained Chinese Word Segmentation with Weakly Labeled Data—0
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Context-Aware Word Segmentation for Chinese Real-World Discourse—0
MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining—0
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation—0
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