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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 151–200 of 244 papers

TitleStatusHype
Improving Chinese Word Segmentation on Micro-blog Using Rich Punctuations—0
Improving Patent Translation using Bilingual Term Extraction and Re-tokenization for Chinese--Japanese—0
Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data—0
Incorporating Deep Syntactic and Semantic Knowledge for Chinese Sequence Labeling with GCN—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models—0
Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text—0
Integrating Surface and Abstract Features for Robust Cross-Domain Chinese Word Segmentation—0
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?—0
Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation—0
基于神经网络的半监督CRF中文分词(Semi-supervised CRF Chinese Word Segmentation based on Neural Network)—0
基于双编码器的医学文本中文分词(Chinese word segmentation of medical text based on dual-encoder)—0
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling—0
Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning—0
Joint Chinese Word Segmentation and Span-based Constituency Parsing—0
Joint Chinese Word Segmentation, POS Tagging and Parsing—0
Joint Learning of Chinese Words, Terms and Keywords—0
Joint Segmentation and Tagging with Coupled Sequences Labeling—0
Learning Phone Embeddings for Word Segmentation of Child-Directed Speech—0
Lexicon-Based Graph Convolutional Network for Chinese Word Segmentation—0
Long Short-Term Memory for Japanese Word Segmentation—0
Long Short-Term Memory Neural Networks for Chinese Word Segmentation—0
Max-Margin Tensor Neural Network for Chinese Word Segmentation—0
Micro blogs Oriented Word Segmentation System—0
Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation—0
Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data—0
Multifaceted Assessments of Traditional Chinese Word Segmentation Tool on Large Corpora—0
Multi-Grained Chinese Word Segmentation—0
Multi-grained Chinese Word Segmentation with Weakly Labeled Data—0
Multiple Character Embeddings for Chinese Word Segmentation—0
Multi-task Domain Adaptation for Sequence Tagging—0
MVP-BERT: Multi-Vocab Pre-training for Chinese BERT—0
MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining—0
NCTU-NTUT at IJCNLP-2017 Task 2: Deep Phrase Embedding using bi-LSTMs for Valence-Arousal Ratings Prediction of Chinese Phrases—0
Neural Chinese Word Segmentation with Dictionary Knowledge—0
Neural Graph Matching Networks for Chinese Short Text Matching—0
Neural Joint Model for Transition-based Chinese Syntactic Analysis—0
Neural Regularized Domain Adaptation for Chinese Word Segmentation—0
New Word Detection for Sentiment Analysis—0
NiuParser: A Chinese Syntactic and Semantic Parsing Toolkit—0
Omni-word Feature and Soft Constraint for Chinese Relation Extraction—0
Overview of the NLPCC 2015 Shared Task: Chinese Word Segmentation and POS Tagging for Micro-blog Texts—0
Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields—0
Parsing Chinese Synthetic Words with a Character-based Dependency Model—0
Parsing Through Boundaries in Chinese Word Segmentation—0
Phrase Model Training for Statistical Machine Translation with Word Lattices of Preprocessing Alternatives—0
PKUSUMSUM : A Java Platform for Multilingual Document Summarization—0
Predicting Chinese Abbreviations with Minimum Semantic Unit and Global Constraints—0
Pre-training with Meta Learning for Chinese Word Segmentation—0
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization—0
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