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Titlebook: Natural Language Processing and Information Systems; 12th International C Zoubida Kedad,Nadira Lammari,Yacine Rezgui Conference proceedings

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Selecting Labels for News Document Clustersg headlines and/or sentences of document in a document cluster (obtained as a result of an entity-event-duration query), and formalize an approach to extracting a short phrase from well-supported headlines/sentences of the cluster that can serve as the cluster label. Our technique maps a sentence in
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Ontological Text Mining of Software Documents or reverse engineering, semantic information conveyed in these documents can provide important knowledge for the software engineer. In this paper, we present a text mining system capable of populating a software ontology with information detected in documents.
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Natural Language Processing and the Conceptual Model Self-organizing Map information system modeling and the development of the information system natural language interface. The main idea of the paper is to build the set of self-organising maps from information system documentation and then reuse it in human-machine communication as a semantic parsing component. The IB
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Automatic Issue Extraction from a Focused Dialoguert for the process of constructing a domain model. The problem is that it is hard to extract the relevant concepts from natural language texts since these typically include many irrelevant details that are hard to discern from relevant concepts. In this paper, we propose an alternative approach to e
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mountain landscapes, the golden sands of uninterrupted beaches, or the emptiness of wide open plains. Tourism, both international and domestic, confirms the value of these to our modern culture. Embedded in the decision to Seachange is of course a sense of romanticism that arrives through the narrat
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