Today's system programmers go to great lengths to extend the languages in which they program. For instance, system-specific compilers find errors in Linux and other systems, ...
Russ Cox, Tom Bergan, Austin T. Clements, M. Frans...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
The application of model-driven development facilitates faster and more flexible integration by separating system descriptions to different levels of abstraction. In crossorganisat...
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Applications written in dynamically typed scripting languages are increasingly popular for Web software development. Even on the server side, programmers are using dynamically typ...