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...
In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural mo...
We propose a novel news browsing system that can cluster photo news articles based on both textual features of articles and image features of news photos for a personal news databa...
Organizing the results of a search facilitates the user in overviewing the information returned. We regard the clustering task as the tasks of making labels for a list of items an...
We investigate the use of clustering methods for the task of grouping the text spans in a news article that refer to the same event. We provide evidence that the order in which eve...