https://github.com/zslin177/srl-as-gp
공식 코드Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing
Papers with Code 아카이브
Chinese
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Chinese language processing is the task of applying natural language processing to the Chinese language.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://huggingface.co/jslin09/bloom-560m-finetuned-fraud
공식 코드Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
https://github.com/Kyubyong/g2pC
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
https://github.com/Mind23-2/MindCode-5/tree/main/PAGENet
PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition
https://github.com/MindSpore-paper-code-2/code2/tree/main/PAGENet
PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition
https://github.com/SVAIGBA/TwASP
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/SVAIGBA/WMSeg
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
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/code-implementation1/Code6/tree/main/PAGENet
PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition
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/gitabtion/BertBasedCorrectionModels
https://github.com/gump88/SAN-CWS
Investigating Self-Attention Network for Chinese Word Segmentation
https://github.com/hiyoung123/SoftMaskedBert
https://github.com/intel/handwritten-chinese-ocr-samples
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition
https://github.com/leileigan/SAN-CWS
Investigating Self-Attention Network for Chinese Word Segmentation
https://github.com/lemon234071/TransformerBaselines
https://github.com/modelscope/modelscope
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
https://github.com/mszpc/SoftMaskedBert
https://github.com/nocoolsandwich/pinyin_gen_error_sentence
https://github.com/pavlo-melnyk/offline-HCCR
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.