https://github.com/Alibaba-NLP/DAAT-CWS
공식 코드Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Chinese word segmentation is the task of splitting Chinese text (i.e. a sequence of Chinese characters) into words (Source: www.nlpprogress.com).
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling
Exploring Segment Representations for Neural Segmentation Models
N-LTP: An Open-source Neural Language Technology Platform for Chinese
The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS
Neural Chinese Word Segmentation as Sequence to Sequence Translation
Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Distant Supervision
A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing
Effective Neural Solution for Multi-Criteria Word Segmentation
Dual Long Short-Term Memory Networks for Sub-Character Representation Learning
Subword Encoding in Lattice LSTM for Chinese Word Segmentation
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
Sub-Character Tokenization for Chinese Pretrained Language Models
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing
Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.