High-coverage extraction of semantic assertions from text
published: Nov. 4, 2011, recorded: October 2011, views: 3018
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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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