SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 244 papers

TitleStatusHype
Create a Manual Chinese Word Segmentation Dataset Using Crowdsourcing Method—0
CRFs-Based Chinese Word Segmentation for Micro-Blog with Small-Scale Data—0
DAG-based Long Short-Term Memory for Neural Word Segmentation—0
Deep Learning for Chinese Word Segmentation and POS Tagging—0
Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning—0
Dependency-based Gated Recursive Neural Network for Chinese Word Segmentation—0
Discriminative Boosting from Dictionary and Raw Text -- A Novel Approach to Build A Chinese Word Segmenter—0
Discriminative Learning with Natural Annotations: Word Segmentation as a Case Study—0
DM\_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features—0
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
Effective Document-Level Features for Chinese Patent Word Segmentation—0
Automatic Adaptation of Annotations—0
Empirical Study of Unsupervised Chinese Word Segmentation Methods for SMT on Large-scale Corpora—0
Enhancement of Feature Engineering for Conditional Random Field Learning in Chinese Word Segmentation Using Unlabeled Data—0
Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability—0
Enhancing Statistical Machine Translation with Character Alignment—0
Entropy-based Training Data Selection for Domain Adaptation—0
Exploring Deterministic Constraints: from a Constrained English POS Tagger to an Efficient ILP Solution to Chinese Word Segmentation—0
Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments—0
Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation—0
BERT Meets Chinese Word Segmentation—0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
Show:102550
← PrevPage 4 of 10Next →

No leaderboard results yet.