Research
Advancing how machines understand and generate human language across speech, text, and translation.
Machine learning-based natural language processing systems are amazingly effective, when plentiful labeled training data exists for the task/domain of interest. Unfortunately, for broad coverage (both in task and domain) language understanding, we’re unlikely to ever…
Speech technologies exist for many high resource languages, and attempts are being made to reach the next billion users by building resources and systems for many more languages. In the past, the main focus of…
A powerful, but limited, way to view software is as source code alone. Mathematical techniques, such as abstract interpretation and model checking, can indicate whether the program satisfies a formal specification. But, where does the…
This ongoing project aims to drive the state of the art in speech recognition toward matching, and ultimately surpassing, humans, with a focus on unconstrained conversational speech. The goal is a moving target as the…
The SQA dataset was created to explore the task of answering sequences of inter-related questions on HTML tables. It has 6,066 sequences with 17,553 questions in total.
This data release is part of the MSR FastRDFStore Package (https://github.com/Microsoft/FastRDFStore/ (opens in new tab)) and includes the last dump of Freebase, as well as the processed version ready to load directly into FastRDFStore.
Calendar.help is a service that allows people to delegate their scheduling tasks to their own virtual scheduling assistant.
