This paper presents an unsupervised method for assembling semantic knowledge from a part-ofspeech tagged corpus using graph algorithms. The graph model is built by linking pairs o...
Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
The goal of this research project is to investigate the use of technology in supporting social relationships by helping users throughout the decisional process (“What program cou...
As it serves as a basis for POS tagging, category induction, and human category acquisition, we investigate the information needed to disambiguate a word in a local context, when ...
To create a realistic environment, some simulations require simulated agents with human behavior pattern. Creating such agents with realistic behavior can be a tedious and time con...