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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).
논문
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Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation
Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS
Incorporating Deep Syntactic and Semantic Knowledge for Chinese Sequence Labeling with GCN
Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Distant Supervision
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN
Joint Chinese Word Segmentation and Span-based Constituency Parsing
Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction
Chinese Word Segmentation with Heterogeneous Graph Neural Network
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing
Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application
Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data
Span Labeling Approach for Vietnamese and Chinese Word Segmentation
Sub-Character Tokenization for Chinese Pretrained Language Models
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis
Segmenting Natural Language Sentences via Lexical Unit Analysis
MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining
RethinkCWS: Is Chinese Word Segmentation a Solved Task?
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph Entities
Pre-training with Meta Learning for Chinese Word Segmentation
N-LTP: An Open-source Neural Language Technology Platform for Chinese
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
Unified Multi-Criteria Chinese Word Segmentation with BERT
Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text
A New Clustering neural network for Chinese word segmentation
Neural Chinese Word Segmentation as Sequence to Sequence Translation
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