Co-occurring keywords · papers mentioning both
Papers
RethinkCWS: Is Chinese Word Segmentation a Solved Task?
EMNLP 2020
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning
COLING 2020
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings
NAACL 2019
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
ACL 2019
Multiple Character Embeddings for Chinese Word Segmentation
ACL 2019
Subword Encoding in Lattice LSTM for Chinese Word Segmentation
NAACL 2019
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
AAAI 2019
Unsupervised Learning Helps Supervised Neural Word Segmentation
AAAI 2019
Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text
COLING 2018
From Chinese Word Segmentation to Extraction of Constructions: Two Sides of the Same Algorithmic Coin
COLING 2018
Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation
IJCAI 2018
Sanskrit Sandhi Splitting using seq2(seq)2
EMNLP 2018
State-of-the-art Chinese Word Segmentation with Bi-LSTMs
EMNLP 2018
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure
IJCNLP 2017
Adversarial Multi-Criteria Learning for Chinese Word Segmentation
ACL 2017
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
IJCAI 2017
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
IJCNLP 2017
MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network
IJCNLP 2017
Multi-Grained Chinese Word Segmentation
EMNLP 2017
NCTU-NTUT at IJCNLP-2017 Task 2: Deep Phrase Embedding using bi-LSTMs for Valence-Arousal Ratings Prediction of Chinese Phrases
IJCNLP 2017
Segmenting Chinese Microtext: Joint Informal-Word Detection and Segmentation with Neural Networks
IJCAI 2017
Word-Context Character Embeddings for Chinese Word Segmentation
EMNLP 2017
Covering Ambiguity Resolution in Chinese Word Segmentation Based on Contextual Information
COLING 2002