Research Areas

Natural Language Processing

The goal of natural language processing (NLP) research is to endow computers with the ability to understand and model human language.

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.

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