Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
In this paper, we address the issue of syntagmatic expressions from a computational lexical semantic perspective. From a representational viewpoint, we argue for a hybrid approach...
Statistical model in retrieval has been shown to perform well empirically. Extended Boolean model has been widely used in business system for its easiness to be complemented and n...
Sumo is a formalism for universal segmentation of text. Its purpose is to provide a framework for the creation of segmentation applications. It is called universal as the formalis...
Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld ...