A Consolidated Open Knowledge Representation for Multiple Texts

WS 2017 Rachel WitiesVered ShwartzGabriel StanovskyMeni AdlerOri ShapiraShyam UpadhyayDan RothEugenio Martinez CamaraIryna GurevychIdo Dagan

We propose to move from Open Information Extraction (OIE) ahead to Open Knowledge Representation (OKR), aiming to represent information conveyed jointly in a set of texts in an open text-based manner. We do so by consolidating OIE extractions using entity and predicate coreference, while modeling information containment between coreferring elements via lexical entailment... (read more)

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