Deutsche Welle corpus for 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/2009.12626
Variants: DWIE
This dataset is used in 4 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Document-level Relation Extraction | VaeDiff-DocRE | VaeDiff-DocRE: End-to-end Data Augmentation Framework … | 2024-12-18 |
| Relation Extraction | REXEL | REXEL: An End-to-end Model for … | 2024-04-19 |
| Named Entity Recognition (NER) | REXEL | REXEL: An End-to-end Model for … | 2024-04-19 |
| Coreference Resolution | REXEL | REXEL: An End-to-end Model for … | 2024-04-19 |
| Named Entity Recognition (NER) | KB-both | Injecting Knowledge Base Information into … | 2021-07-05 |
| Relation Extraction | KB-both | Injecting Knowledge Base Information into … | 2021-07-05 |
| Coreference Resolution | KB-both | Injecting Knowledge Base Information into … | 2021-07-05 |
| Named Entity Recognition (NER) | Joint+RelProp | DWIE: an entity-centric dataset for … | 2020-09-26 |
| Coreference Resolution | Joint | DWIE: an entity-centric dataset for … | 2020-09-26 |
| Relation Extraction | Joint+AttProp | DWIE: an entity-centric dataset for … | 2020-09-26 |
Recent papers with results on this dataset: