We describe a simple improvement to ngram language models where we estimate the distribution over closed-class (function) words separately from the conditional distribution of ope...
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
Abstract. Class hierarchies are commonly used to reduce the complexity of the classification problem. This is crucial when dealing with a large number of categories. In this work, ...
We describe studies of preferences about information sharing aimed at identifying fundamental concerns with and at understanding how people might abstract the details of sharing i...
Abstract. We compare Kripke models and hypercube systems, a simpli ed notion of Interpreted Systems, as semantic structures for reasoning about knowledge. Our method is to de ne a ...