Lingpeng Kong

Lingpeng Kong

Ph.D. Candidate
Language Technologies Institute
School of Computer Science
Carnegie Mellon University



My research stresses the importance of computational modeling of structure in natural language processing (NLP). My work utilizes methods from machine learning, optimization and combinatorial algorithms with applications related to syntactic parsing (Kong and Smith, 2014; Kong et al., 2015b), sequence labeling (Kong et al., 2015a), speech recognition (Lu et al., 2016) and social media (Kong et al., 2014).

I am very lucky to be co-advised by Professor Noah Smith and Professor Chris Dyer, and I am a member of Noah's ARK and clab. Before coming to CMU, I worked for a year in IBM China Systems and Technology Lab.

I am now working at the University of Washington as a visiting Ph.D. student. You can find me in office 386 in the Paul G. Allen Center for Computer Science and Engineering.

In the summer of 2016, I interned in Google Research in NYC, working with Dr. David Weiss.

In the spring of 2017, I am interning in Google DeepMind in London, working with Dr. Chris Dyer and Dr. Stephen Clark.


Don't just believe that because something is trendy, that it's good.
  –Donald E. Knuth, Stanford University