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