SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 244 papers

TitleStatusHype
Sub-Character Tokenization for Chinese Pretrained Language ModelsCode1
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
Context-Aware Word Segmentation for Chinese Real-World Discourse—0
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph EntitiesCode1
Multi-grained Chinese Word Segmentation with Weakly Labeled Data—0
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-gramsCode1
MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining—0
Show:102550
← PrevPage 5 of 25Next →

No leaderboard results yet.