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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 201–244 of 244 papers

TitleStatusHype
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs—0
Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
Adversarial Multi-Criteria Learning for Chinese Word Segmentation—0
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging—0
A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks—0
A Grammar-informed Corpus-based Sentence Database for Linguistic and Computational Studies—0
AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale—0
A Joint Framework for Ancient Chinese WS and POS Tagging Based on Adversarial Ensemble Learning—0
A Joint Model for Graph-based Chinese Dependency Parsing—0
A Joint Model for Unsupervised Chinese Word Segmentation—0
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation—0
A Lattice-based Framework for Joint Chinese Word Segmentation, POS Tagging and Parsing—0
A mixed approach for Chinese word segmentation—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
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 New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction—0
A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
A Pragmatic Approach for Classical Chinese Word Segmentation—0
A realistic and robust model for Chinese word segmentation—0
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for 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
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
Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation—0
Binary Tree based Chinese Word Segmentation—0
Can MDL Improve Unsupervised Chinese Word Segmentation?—0
Can Word Segmentation be Considered Harmful for Statistical Machine Translation Tasks between Japanese and Chinese?—0
Cascaded Chinese Weibo Segmentation Based on CRFs—0
Character-Level Chinese Dependency Parsing—0
Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model—0
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