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The focus of this paper is describing a natural language processing methodology for identifying opinion diversity expressed within text. We achieve this by building a domain-driven opinion vocabulary, in order to be able to identify domain specific words and expressions. As a use case scenario, we c ...

Information nowadays has become more and more accessible, so much as to give birth to an information overload issue. Yet important decisions have to be made, depending on the available information. As it is impossible to read all the relevant content that helps one stay informed, a possible solution ...

In this paper we present a question answering system supported by semantic graphs. Aside from providing answers to natural language questions, the system offers explanations for these answers via a visual representation of documents, their associated list of facts described by subject – verb – objec ...