Chenxi Zhu


2022

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MDCSpell: A Multi-task Detector-Corrector Framework for Chinese Spelling Correction
Chenxi Zhu | Ziqiang Ying | Boyu Zhang | Feng Mao
Findings of the Association for Computational Linguistics: ACL 2022

Chinese Spelling Correction (CSC) is a task to detect and correct misspelled characters in Chinese texts. CSC is challenging since many Chinese characters are visually or phonologically similar but with quite different semantic meanings. Many recent works use BERT-based language models to directly correct each character of the input sentence. However, these methods can be sub-optimal since they correct every character of the sentence only by the context which is easily negatively affected by the misspelled characters. Some other works propose to use an error detector to guide the correction by masking the detected errors. Nevertheless, these methods dampen the visual or phonological features from the misspelled characters which could be critical for correction. In this work, we propose a novel general detector-corrector multi-task framework where the corrector uses BERT to capture the visual and phonological features from each character in the raw sentence and uses a late fusion strategy to fuse the hidden states of the corrector with that of the detector to minimize the negative impact from the misspelled characters. Comprehensive experiments on benchmarks demonstrate that our proposed method can significantly outperform the state-of-the-art methods in the CSC task.

2015

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A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network
Chenxi Zhu | Xipeng Qiu | Xinchi Chen | Xuanjing Huang
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

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Gated Recursive Neural Network for Chinese Word Segmentation
Xinchi Chen | Xipeng Qiu | Chenxi Zhu | Xuanjing Huang
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

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Sentence Modeling with Gated Recursive Neural Network
Xinchi Chen | Xipeng Qiu | Chenxi Zhu | Shiyu Wu | Xuanjing Huang
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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Long Short-Term Memory Neural Networks for Chinese Word Segmentation
Xinchi Chen | Xipeng Qiu | Chenxi Zhu | Pengfei Liu | Xuanjing Huang
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks
Xinchi Chen | Yaqian Zhou | Chenxi Zhu | Xipeng Qiu | Xuanjing Huang
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing