DWIE (Deutsche Welle corpus for Information Extraction)
Introduced by Zaporojets et al. in DWIE: an entity-centric dataset for multi-task document-level information extraction
The 'Deutsche Welle corpus for Information Extraction' (DWIE) is a multi-task dataset that combines four main Information Extraction (IE) annotation sub-tasks: (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.
Source: https://arxiv.org/abs/2009.12626Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
DWIE
|
KB-both
|
|||
|
DWIE
|
Joint
|
|||
|
DWIE
|
KB-both
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
