Natural Language Processing

Exploring the connection between Transformer models such as GPT and BERT for Natural Language Processing, and Graph Neural Networks. (80,000+ readers on The Gradient, featured in Probabilistic ML textbook and classes at Stanford, Cambridge, Oxford.)

We discuss the Question-Answering task in NLP, and introduce a class of deep learning models known as memory networks to build QA and chatbot systems.

Context News Bot: Tackling Echo Chambers & Misinformation

New datasets and Memory Network architectures for studying personalized dialog systems based on user profiles. (NeurIPS 2017 Workshop)

Research on dialog systems and language understanding

Interning at an AI startup