My current research is in the intersection of natural language processing and machine learning. 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.
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.