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This paper proposes a new text-based question answering system. It models knowledge in documents and questions with conceptual graph formalism (CGF). To prepare knowledge to be modeled, natural language processing is applied to the text using OpenNLP, and then syntactic and semantic information is realized using VerbNet and WordNet. We handle different types of questions, especially questions constructed...
The graphical text representation method such as Conceptual Graphs (CGs) attempts to capture the structure and semantics of documents. As such, they are the preferred text representation approach for a wide range of problems namely in natural language processing, information retrieval and text mining. In a number of these applications, it is necessary to measure the dissimilarity (or similarity) between...
This paper presents a work achieved within a decision support system. The aim is to support an operator in his/her task of analyzing soft data to monitor and anticipate a geopolitical crisis. The incoming data is filtered and analyzed so as to retain only the relevant events. Therefore, the system extracts the relevant events from the incoming soft data and produces synthetic descriptions of these...
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