Bingning Wang
王炳宁
Email: daniel@baichuan-inc.com god@bingning.wang
Address: Zhongguancun East Road 1, HaiDian District, Beijing, China. 100190.
Research:
Machine
Comprehension:
Machine Comprehension is one of the primary goals of Artificial Intelligence (AI) and
natural language understanding.
The task is to read one or set of document and answer questions.
Machine comprehension demands the ability of casual reasoning, context association,
event extraction and world knowledge, etc.
LANGUAGE IS THE HIGH LEVEL INTELLEGENCE. COMPREHENSION IS AN ABILITY, NOT AN PROCESS.
Natural Language Processing:
My research on Natural Language Processing (NLP) are focus on question answering, relation pattern extraction and text semantic hashing.
Machine Learning
Machine Learning has been explored exhaustive since the era of information and big data, My research on this domain are focus on attention based Recurrent Neural Networks and modeling sequence procedure, spectral clustering.
Publications:
- Bingning Wang, Shangmin Guo, Kang Liu, Shizhu he and Jun Zhao, Employing External Rich Knowledge for Machine Comprehension, In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016, full paper), New York, USA, July 9-15 [PDF] [SLIDES] [POSTER]
- Bingning Wang, Kang Liu, and Jun Zhao, Inner Attention based Recurrent Neural Networks for Answer Selection. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pages 1288–1297, Berlin, Germany, August 7-12, 2016. [PDF] [SLIDES] [POSTER] [CODE]
- Bingning Wang, Kang Liu, and Jun Zhao, Conditional Generative Adversarial Networks for Commonsense Machine Comprehension. In Proceedings of the 26th International Joint Conference on Artificial Intelligence. (IJCAI 2017), Melbourne, Australia, August 19-25 [PDF] [SLIDES] [POSTER] [CODE]
- Bingning Wang, Kang Liu, and Jun Zhao, Deep Semantic Hashing with Multi-Adversarial Training. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018) (pp. 1453-1462). ACM. ; [PDF] [SLIDES] [CODE]
- Wu, Jindou, Yunlun Yang, Chao Deng, Hongyi Tang, Bingning Wang , Haoze Sun, Ting Yao, and Qi Zhang. "Sogou Machine Reading Comprehension Toolkit." arXiv preprint arXiv:1903.11848 (2019). [Github]
- Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Zhixing Tian, Kang Liu and Jun Zhao, Document Gated Reader for Open-Domain Question Answering. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2019, Long) (pp. 85-94). ACM. Paris, France [PDF] [SLIDES]
- Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Zhixing Tian, Kang Liu and Jun Zhao, Unsupervised Story Comprehension with Hierarchical Encoder-Decoder." Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR 2019). ACM, 2019. [PDF] [SLIDES]
- Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang, ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020). [PDF] [Data] [SLIDES]
- Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang, Neural Question Generation with Answer Pivot, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020). [PDF] [SLIDES]
- Xing, Xiaoyu, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, and Xuan-Jing Huang. "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pp. 3594-3605. 2020. [PDF]
- Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang, 30th The Web Conference (WWW 2021). [PDF] [CODE]
- Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang, Findings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021). [PDF] [CODE]
Education:
Doctor of
Philosophy:
Research Group of Speech and Language Technology
National Laboratory of Pattern Recognition
Institute of Automation
Chinese Academy of Sciences (CAS), Beijing, China
Sep. 2013 – June. 2018
Advisers: Professor
Jun Zhao
Associate Professor Kang
Liu
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Bachelor's Degree
of Science in Engineering:
Department of Automation
College of Electronic Information and Automation
Tianjin University of Science and Technology (TUST), Tianjin, China
Sep. 2009 – June. 2013
About Me:
I was born in September 30th, 1991 in Xinyang (信阳), a beautiful city in the southernmost He'nan province, China.Misc:
Chinese Traditional Culture: Chinese civilization of Huaxia spans over 5 thousands years and as one of our Chinese people i am so proud of the brilliant culture in our history. Song Ci is my favorite genre of CTC, I like Congjia Li (李煜)'s works most of all. Some of my maladroit poems can be found here.Reading: I like reading every kinds of books, especially novel, As our Henan province locates the capital city of Song dynasty, so reading Song's history book is really interesting for me. I like read science fiction such as The Dairy of Robbing Tomb, Three Dody and Asimov's The Robot series. Among all the books i have read, the production of Xiaobo Wang (王小波) is my favorite. And his Era Trilogy is my top recommendation.
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