Since 2017, MIT Technology Review (TR) and DeepTech, the exclusive partner in China, have launched the 35 Tech Innovators Under 35 in China annually. On December 14th, the third list has been officially unveiled, and Danqi Chen (Yaoclass 2012) was named as Pioneers for her innovative research in deep learning.
Danqi Chen, assistant professor of Computer Science at Princeton University, graduated from Yaoclass, IIIS, Tsinghua University, in 2012. She uses deep learning for a range of important natural language processing problems, helping machines acquire knowledge and answer questions better.
In the use of Neural Network/Deep Learning technology to solve natural language processing problems, Danqi Chen is one of the earliest explorers. She has many pioneering research in this direction, covering multiple core technical issues, including but not limited to the earliest application of neural network models. She pioneered the application of deep learning to dependency parsing, and established an early open domain question answering system that can use the large-scale open source external knowledge base to ask questions.
Danqi’s research achievements in machine reading and knowledge extraction, while helping the academic community to open up new directions, have also been widely applied and verified in the industry. Based on these achievements, machines are getting better at actually answering questions rather than simply returning document search results.
This year marks the 120th anniversary of MIT TR. Since 1999, it has selected a group of the most innovative and influential scientists, researchers, and technology entrepreneurs under the age of 35 every year. They are named as Inventors, Entrepreneurs, Visionaries, Humanitarians and Pioneers so that more outstanding people can be recognized, understood, and supported, as to gather more energy to change the future of this world.
(By Xialei Zhou)
