My current research is in the intersection of natural language processing, machine learning and formal semantics. I focus on designing and building algorithms to recover formal representations of language meaning, with specific interest in learning in situated interactions using weak supervision.
Here is some information for prospective students. If you are already a Cornell PhD student email me directly.
I am looking for Cornell PhD students to join my group. If you are in Cornell and interested in NLP, potentially intersected with machine learning, vision, or robotics, email me.
The Cornell Semantic Parsing Framework (Cornell SPF) is an open source research software package. It includes a semantic parsing algorithm, a flexible meaning representation language and learning algorithms. To get SPF and learn more about it, click here. SPF's documentation is available here. For technical questions and queries, see the Cornell SPF Google Group.