We study the effects of various emergent topologies of interaction on the rate of language convergence in a population of communicating agents. The agents generate, parse, and lea...
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
Domain specific programming languages tend to be rigid in capability and dependent on either a graphical interface or a scripting language. We present a question-oriented approach...
The Extensible Markup Language is susceptible to security breaches because it does not incorporate methods to protect the information it encodes. Our work presented in this paper f...