Text interpretation can be considered as the process of extracting deep-level semantics from unstructured text documents. Deep-level semantics represent abstract index structures that enhance the precision and recall of information retrieval tasks. In this work we discuss the use of ontologies as valuable assets to support the extraction of deep-level semantics in the context of a generic architecture for text interpretation.
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