We extend an approach to search inside large-scale music collections by enabling the user to give feedback on the retrieved music pieces. In the original approach, a search engine ...
Abstract. This work compares different metaheuristics techniques applied to an important problem in natural language: tagging. Tagging amounts to assigning to each word in a text ...
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
We present an automated, scalable, method for crafting dynamic responses to real-time network requests. Specifically, we provide a flexible technique based on natural language pro...
Sam Small, Joshua Mason, Fabian Monrose, Niels Pro...
Today's knowledge workers have to spend a large amount of time and manual effort on creating, analyzing, and modifying textual content. While more advanced semantically-orient...