We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
Ambiguity in the output is a concern for NLG in general. This paper considers the case of structural ambiguity in spoken language generation. We present an algorithm which inserts ...
In this study, we designed and developed two educational games on mobile phones with support for speech-recognition to examine and train the cognitive underpinnings of word reading...
We describe the rationale behind the design of key features of Titanium—an explicitly parallel dialect of JavaTM for high-performance scientific programming—and our experienc...
Katherine A. Yelick, Paul N. Hilfinger, Susan L. G...
Abstract. Delimited continuations are the meanings of delimited evaluation contexts in programming languages. We show they offer a uniform view of many scenarios that arise in sys...