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Evaluating Uncertainty in Textual Document

Abstract : In this work, we consider that a close collaboration between the research fields of Natural Language Processing and Knowledge Representation becomes essential to fulfill the vision of the Semantic Web. This will permit to retrieve information from vast amount of textual documents present on the Web and to represent these extractions in an amenable manner for querying and reasoning purposes. In such a context , uncertain, incomplete and ambiguous information must be handled properly. In the following, we present a solution that enables to qualify and quantify the uncertainty of extracted information from linguistic treatment.
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Submitted on : Thursday, March 22, 2018 - 9:47:28 AM
Last modification on : Saturday, January 15, 2022 - 3:58:51 AM
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  • HAL Id : hal-01740539, version 1


Fadhela Kerdjoudj, Olivier Curé. Evaluating Uncertainty in Textual Document. URSW at ISWC, 2015, Bethlehem, United States. ⟨hal-01740539⟩



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