We study both fundamental ideas and recent research trends in natural language processing, with a focus on both theoretical and practical aspects of various NLP techniques and applications.

WashU NLP Group

Research in this area includes:

  • Deep Learning for NLP
  • Language Models
  • Structure Prediction
  • Knowledge Graphs
  • Language Representation and Generation
  • Information Extraction
  • Language and Vision
  • Question Answering
  • Security and Privacy in NLP
  • Model Robustness
  • Model Interpretability
  • Fairness in NLP
  • Neural Symbolic Models
  • Code Understanding and Generation
  • NLP for Science, Biomedicine, Math, Economics, Blockchain
  • NLP Systems