Abstract:We propose KnowGL, a tool that allows converting text into structured relational data represented as a set of ABox assertions compliant with the TBox of a given Knowledge Graph (KG), such as Wikidata.
We address this problem as a sequence generation task by leveraging pre-trained sequence-to-sequence language models, e.g. BART.
Given a sentence, we fine-tune such models to detect pairs of entity mentions and jointly generate a set of facts consisting of the full set of semantic annotations for a KG, such as e… Show more
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