https://github.com/SVAIGBA/WMSeg
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
Papers with Code 아카이브
Chinese Word Segmentation
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Chinese word segmentation is the task of splitting Chinese text (i.e. a sequence of Chinese characters) into words (Source: www.nlpprogress.com).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/YYGe01/ZEN
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/bzhangGo/lrn
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
https://github.com/cuhksz-nlp/SAPar
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/cuhksz-nlp/het-mc
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/cuhksz-nlp/mcasp
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/efeatikkan/Chinese_Word_Segmenter
https://github.com/explosion/spacy-pkuseg
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
https://github.com/gump88/SAN-CWS
Investigating Self-Attention Network for Chinese Word Segmentation
https://github.com/leileigan/SAN-CWS
Investigating Self-Attention Network for Chinese Word Segmentation
https://github.com/modelscope/modelscope
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
https://github.com/tchayintr/latte-ptm-ws
https://github.com/tchayintr/latte-ws
https://github.com/thunlp/readin
Sub-Character Tokenization for Chinese Pretrained Language Models
https://github.com/ykrmm/ICLR_2020
https://github.com/ykrmm/TREMBA
https://github.com/yongbowin/pkuseg-python_annotation
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
https://github.com/zhangyuwangumass/Glyph-based-Chinese-Character-Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.