Lingpeng Kong

Lingpeng Kong

Research Scientist
Google DeepMind

I am a research scientist at Google DeepMind. My research stresses the importance of computational modeling of structures 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; Kong et al., 2017), sequence labeling (Kong et al., 2015a), speech recognition (Lu et al., 2016; Tang et al., 2017) and social media (Kong et al., 2014).

I received my Ph.D. from Carnegie Mellon University where I was co-advised by Professor Noah Smith and Professor Chris Dyer, as a member of Noah's ARK and clab. Prior to CMU, I worked for a year in IBM China Systems and Technology Lab.

In the summer of 2016, I interned in Google Research in New York, working with Dr. David Weiss. In the spring of 2017, I interned in Google DeepMind in London, working with Dr. Chris Dyer and Dr. Stephen Clark.
I live in King's Cross, London with my shiba, Hikaru. My favourite Chinese restaurant in this city is Má Là Sichuan.
  • DyNet -- The Dynamic Neural Network Toolkit
  • ARK Syntactic and Semantic Parsing Demo
  • Using TurboParser to Get Stanford Dependencies
  • Twitter Natural Language Processing
  • Don't just believe that because something is trendy, that it's good.
      –Donald E. Knuth, Stanford University