A Consolidated Open Knowledge Representation for Multiple Texts

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Authors Vered Shwartz, Gabriel Stanovsky, Ido Dagan, Eugenio Martinez Camara, Meni Adler, Ori Shapira, Iryna Gurevych, Rachel Wities, Shyam Upadhyay, Dan Roth
Journal/Conference Name WS 2017 4
Paper Category
Paper Abstract 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. We suggest that generating OKR structures can be a useful step in the NLP pipeline, to give semantic applications an easy handle on consolidated information across multiple texts.
Date of publication 2017
Code Programming Language Python

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