mlsanityData to 7 Oct 2026

Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF

arXiv 1704.01314 ↗First posted 5 Apr 2017cs.CLcited by 16

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Abstract (arXiv)

We present a character-based model for joint segmentation and POS tagging for Chinese. The bidirectional RNN-CRF architecture for general sequence tagging is adapted and applied with novel vector representations of Chinese characters that capture rich contextual information and lower-than-character level features. The proposed model is extensively evaluated and compared with a state-of-the-art tagger respectively on CTB5, CTB9 and UD Chinese. The experimental results indicate that our model is accurate and robust across datasets in different sizes, genres and annotation schemes. We obtain state-of-the-art performance on CTB5, achieving 94.38 F1-score for joint segmentation and POS tagging.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Apr 2017.

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Citing papers per year: 2021: 7; 2022: 6; 2023: 1; 2024: 2.

16 papers.

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  1. 2021ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Informationcited by 65
  2. 2021Lexicon Enhanced Chinese Sequence Labeling Using BERT Adaptercited by 34
  3. 2021Interpreting Deep Learning Models in Natural Language Processing: A Reviewcited by 19
  4. 2021Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Modelscited by 5
  5. 2022That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memorycited by 5
  6. 2022Neural Token Segmentation for High Token-Internal Complexitycited by 4
  7. 2021Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labelingcited by 3
  8. 2022GNN-SL: Sequence Labeling Based on Nearest Examples via GNNcited by 3
  9. 2022Chinese Word Segmentation with Heterogeneous Graph Neural Networkcited by 2
  10. 2022Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labelingcited by 2
  11. 2024Revisiting the Markov Property for Machine Translationcited by 2
  12. 2021Neural Sequence Segmentation as Determining the Leftmost Segmentscited by 1
4 more
  1. 2023Incorporating Deep Syntactic and Semantic Knowledge for Chinese Sequence Labeling with GCNcited by 1
  2. 2024An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labelingcited by 1
  3. 2021Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and Chinesecited by 0
  4. 2022Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Nextcited by 0