Research
Advancing how machines understand and generate human language across speech, text, and translation.
This project aims to enable people to converse with their devices. We are trying to teach devices to engage with humans using human language in ways that appear seamless and natural to humans. Our research…
The Logical Form analysis produced by the NLPwin parser is very close in spirit to the level of semantic representation defined in AMR, Abstract Meaning Representation. The “NLPwin parses AMR” project is a conversion from…
The goal of this project is to develop a class of deep representation learning models. DSSM stands for Deep Structured Semantic Model, or more general, Deep Semantic Similarity Model. DSSM, developed by the MSR Deep Learning…
Web browsers have become a de facto universal operating system, and JavaScript its instruction set. Unfortunately, running other languages in the browser is not generally possible. Translation to JavaScript is not enough because browsers are…
