Senior Software Engineer at Baidu, Inc. | mail: hitwsl@gmail.com

Ph.D. candidate, Harbin Institute of Technology2015.9 - 2022.6

Major: Computer Science

M.S., Harbin Institute of Technology2014.9 - 2015.7

Major: Computer Science

B.E., Harbin Institute of Technology2010.9 - 2014.7

Major: Computer Science

Jizhou Huang, Haifeng Wang, Shaolei Wang. DuIVRS: A Telephonic Interactive Voice Response System for Large-Scale POI Attribute Acquisition at Baidu Maps. In Proceedings of the 31st ACM International Conference on Information \& Knowledge Management (CIKM 2022).

Jizhou Huang, Haifeng Wang, Shiqiang Ding, Shaolei Wang. DuIVA: An Intelligent Voice Assistant for Hands-free and Eyes-free Voice Interaction with the Baidu Maps App. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022).

Zhongyuan Wang, Yixuan Wang, Shaolei Wang, Wanxiang Che. Adaptive Unsupervised Self-training for Disfluency Detection. In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022).

Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Sendong Zhao, Ting Liu. Combining self-supervised learning and active learning for disfluency detection. In Transactions on Asian and Low-Resource Language Information Processing (TALLIP 2021).

Shaolei Wang, Baoxin Wang, Jiefu Gong, Zhongyuan Wang, Xiao Hu, Xingyi Duan, Zizhuo Shen, Gang Yue, Ruiji Fu, Dayong Wu, Wanxiang Che, Shijin Wang, Guoping Hu, Ting Liu. Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis. In the 6th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2020).

Shaolei Wang, Zhongyuan Wang, Wanxiang Che and Ting Liu. Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP2020). [code]

Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu and William Yang Wang. Multi-Task Self-Supervised Learning for Disfluency Detection. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI2020).

Shaolei Wang, Yue Zhang, Wanxiang Che and Ting Liu. Joint Extraction of Entities and Relations Based on a Novel Graph Scheme. In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI2018). | [code] | [slide]

Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang and Ting Liu. Transition-Based Disfluency Detection using LSTMs. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP2017). | [code] | [poster]

Shaolei Wang, Wanxiang Che and Ting Liu. A Neural Attention Model for Disfluency Detection. In Proceedings of the 26th InternationalConference on Computational Linguistics (COLING2016). | [slide]

Shaolei Wang, Wanxiang Che, Yijia Liu and Ting Liu. Enhancing Neural Disfluency Detection with Hand-Crafted Features. In Proceedings of China National Conference on Chinese Computational Linguistics (CCL2016).

worked with Dr. William Wang , on disfluency detection and grammatical error detection.

worked with Dr. Yue Zhang, on disfluency detection and entity relation extraction.

Worked on Punctuation and Disfluency Detection.

Worked on Query-based Synonym Mining.

Supported by Sina·MData(http://www.miduchina.com). We are building a chinese grammatical error diagnosis system for

Our system (Flying) achieves 2 first (Most valuable indicators), 1 second, 1 third among six tracks, out of 43 submitted

relation extraction.

which achieves the best reported performance.

we try to use search engine's query log for synonym mining and finally obtain about a million synonyms.