Lei Sha
Lei Sha
Interests
Controllable information extraction, Controllable text generation, Natural language understanding
Biography
I am a Postdoctoral researcher advised by Prof. Thomas Lukasiewicz in the Intelligent System Lab, University of Oxford. Previously, I was an NLP research scientist in Apple. While at Apple, I am responsible for Siri’s module, such as domain classification and chit-chat dialogue. Before that, in 2018, I obtained my PhD degree and graduated from Peking University, China, where I worked with Prof. Zhifang Sui, Prof. Baobao Chang, and Prof. Sujian Li. I also served as a research assistant in Microsoft Research Asia, working with Chin-yew Lin, Lintao Zhang, and Qi Chen. During my PhD period, I majored in information extraction and text generation. I have published many first-author papers in top conferences of NLP, such as ACL, EMNLP, NAACL, AAAI, etc. My research interest focus on natural language understanding and controllable text generation.
Selected Publications
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Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration
Lei Sha‚ Oana−Maria Camburu and Thomas Lukasiewicz
In Kevin Leyton−Brown and Mausam, editors, Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021. AAAI Press. 2021.
Details about Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration | BibTeX data for Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration
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Multi−Type Disentanglement without Adversarial Training
Lei Sha and Thomas Lukasiewicz
In Kevin Leyton−Brown and Mausam, editors, Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI 2021‚ Virtual Conference‚ February 2–9‚ 2021. AAAI Press. 2021.
Details about Multi−Type Disentanglement without Adversarial Training | BibTeX data for Multi−Type Disentanglement without Adversarial Training