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chinese word segmentation

48 papers

CWS

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