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High-coverage extraction of semantic assertions from text

High-coverage extraction of semantic assertions from text

This video was recorded at Slovenian KDD Conference on Data Mining and Data Warehouses (SiKDD), Ljubljana 2011. We present an early version of a method for open-domain semantic assertion extraction from natural language texts. To combat the shortage of training data for the task, a two-stage pipeline is employed: we first perform semantic role labeling, then map the resulting frames onto predicate-form, ontology-aligned statements. We chose FrameNet and Cyc as the frame database and the ontology, respectively.

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