Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
In the late 90's, the emergence of high-performance 3D commodity graphics cards paved the way to the use of PC clusters for high-performance Virtual Reality (VR) applications....
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...
Previous methods usually conduct the keyphrase extraction task for single documents separately without interactions for each document, under the assumption that the documents are ...