Research
I am broadly interested in Natural Language Processing and Machine Learning methods that can be used to automatically learn the underlying knowledge in languages.

On the methodology side, I am intrigued by elegant models with end-to-end training, such as the capability of Deep Neural Networks to learn powerful representations without explicitly injecting human knowledge. I am also interested in structured prediction models that can handle complex output spaces since NLP problems usually have structured outputs.

On the application side, I am very interested in extracting and understanding knowledge behind languages, such as representation learning, information extraction, reading comprehension, etc.

Recently, my proposed thesis research focuses on learning deep representations for low-resource / zero-resource cross-lingual model transfer.