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DWIE: an entity-centric dataset for multi-task document-level information extraction
[article]
2021
arXiv
pre-print
This paper presents DWIE, the 'Deutsche Welle corpus for Information Extraction', a newly created multi-task dataset that combines four main Information Extraction (IE) annotation subtasks: (i) Named Entity Recognition (NER), (ii) Coreference Resolution, (iii) Relation Extraction (RE), and (iv) Entity Linking. DWIE is conceived as an entity-centric dataset that describes interactions and properties of conceptual entities on the level of the complete document. This contrasts with currently
arXiv:2009.12626v2
fatcat:2ht56fk3l5bipgev2uttsnagvu