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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

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Showing 1–50 of 244 papers

TitleStatusHype
N-LTP: An Open-source Neural Language Technology Platform for ChineseCode3
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLPCode1
LSICC: A Large Scale Informal Chinese CorpusCode1
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word SegmentationCode1
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed KnowledgeCode1
Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-gramsCode1
Sub-Character Tokenization for Chinese Pretrained Language ModelsCode1
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram RepresentationsCode1
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph EntitiesCode1
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph ParsingCode1
Improving Chinese Word Segmentation with Wordhood Memory NetworksCode1
RethinkCWS: Is Chinese Word Segmentation a Solved Task?Code1
The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POSCode1
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph EntitiesCode1
A Grammar-informed Corpus-based Sentence Database for Linguistic and Computational Studies—0
A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks—0
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs—0
Accurate Linear-Time Chinese Word Segmentation via Embedding Matching—0
Active Learning for Chinese Word Segmentation—0
Cascaded Chinese Weibo Segmentation Based on CRFs—0
Character-Level Chinese Dependency Parsing—0
A MMSM-based Hybrid Method for Chinese MicroBlog Word Segmentation—0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Data Augmentation—0
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging—0
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling—0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition—0
An Empirical Study of Machine Translation for the Shared Task of WMT18—0
An Empirical Study Of Semi-Supervised Chinese Word Segmentation Using Co-Training—0
A New Clustering neural network for Chinese word segmentation—0
A mixed approach for Chinese word segmentation—0
Adversarial Multi-Criteria Learning for Chinese Word Segmentation—0
A Comparison of Chinese Word Segmentation on News and Microblog Corpora with a Lexicon Based Method—0
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation—0
Binary Tree based Chinese Word Segmentation—0
Can MDL Improve Unsupervised Chinese Word Segmentation?—0
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation—0
A Joint Model for Unsupervised Chinese Word Segmentation—0
A Study of the Effectiveness of Suffixes for Chinese Word Segmentation—0
A Transition-based Model for Joint Segmentation, POS-tagging and Normalization—0
A Lattice-based Framework for Joint Chinese Word Segmentation, POS Tagging and Parsing—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
Automatic Adaptation of Annotations—0
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information—0
Automatic Refinement of Syntactic Categories in Chinese Word Structures—0
Benben: A Chinese Intelligent Conversational Robot—0
BERT 4EVER@EvaHan 2022: Ancient Chinese Word Segmentation and Part-of-Speech Tagging Based on Adversarial Learning and Continual Pre-training—0
BERT Meets Chinese Word Segmentation—0
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation—0
A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation—0
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