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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 26–50 of 244 papers

TitleStatusHype
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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