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

arXiv: https://arxiv.org/abs/1704.01314 · HTML: https://mlsanity.com/paper/1704.01314/

## Key facts

- Cited by 16 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Apr 2017.

## Built on by (most cited first, 16 of 16)

- [ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information](https://mlsanity.com/paper/2106.16038/) (2021)
- [Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter](https://mlsanity.com/paper/2105.07148/) (2021)
- [Interpreting Deep Learning Models in Natural Language Processing: A Review](https://mlsanity.com/paper/2110.10470/) (2021)
- [Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models](https://mlsanity.com/paper/2109.11058/) (2021)
- [That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory](https://mlsanity.com/paper/2209.02967/) (2022)
- [Neural Token Segmentation for High Token-Internal Complexity](https://mlsanity.com/paper/2203.10845/) (2022)
- [Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling](https://mlsanity.com/paper/2112.09488/) (2021)
- [GNN-SL: Sequence Labeling Based on Nearest Examples via GNN](https://mlsanity.com/paper/2212.02017/) (2022)
- [Chinese Word Segmentation with Heterogeneous Graph Neural Network](https://mlsanity.com/paper/2201.08975/) (2022)
- [Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling](https://mlsanity.com/paper/2210.15231/) (2022)
- [Revisiting the Markov Property for Machine Translation](https://mlsanity.com/paper/2402.02084/) (2024)
- [Neural Sequence Segmentation as Determining the Leftmost Segments](https://mlsanity.com/paper/2104.07217/) (2021)
- [Incorporating Deep Syntactic and Semantic Knowledge for Chinese Sequence Labeling with GCN](https://mlsanity.com/paper/2306.02078/) (2023)
- [An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling](https://mlsanity.com/paper/2402.13534/) (2024)
- [Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and Chinese](https://mlsanity.com/paper/2102.12136/) (2021)
- [Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next](https://mlsanity.com/paper/2212.04068/) (2022)

## 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.