I am a PhD student at the Language Technologies Institute in the School of Computer Science, advised by Noah Smith, Chris Dyer, and Jaime Carbonell. (cv)
My research interests lie in the areas of structured prediction, machine learning, and natural language processing. I work to make computers understand and generate natural language better (semantic parsing and generation) and to help people who speak different languages communicate (machine translation).
My collaborators and I developed JAMR, which is a semantic parser, generator and aligner for the Abstract Meaning Representation (AMR).
Here is the tutorial at NAACL 2015 I gave on AMR with Nathan Schneider and Tim O’Gorman (pdf, video).