The DocRED Information Extraction (DocRED-IE) dataset extends the DocRED dataset for the Document-level Closed Information Extraction (DocIE) task. DocRED-IE is a multi-task dataset and allows for 5 subtasks: (i) Document-level Relation Extraction, (ii) Mention Detection, (iii) Entity Typing, (iv) Entity Disambiguation, (v) Coreference Resolution, as well as combinations thereof such as Named Entity Recognition (NER) or Entity Linking. The DocRED-IE dataset also allows for the end-to-end tasks of: (i) DocIE and (ii) Joint Entity and Relation Extraction. DocRED-IE comprises sentence-level and document-level facts, thereby describing short as well as long-range interactions within an entire document.
Variants: DocRED-IE
This dataset is used in 4 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Coreference Resolution | REXEL | REXEL: An End-to-end Model for … | 2024-04-19 |
| Entity Typing | REXEL | REXEL: An End-to-end Model for … | 2024-04-19 |
| Entity Disambiguation | REXEL | REXEL: An End-to-end Model for … | 2024-04-19 |
| Document-level Relation Extraction | REXEL | REXEL: An End-to-end Model for … | 2024-04-19 |
Recent papers with results on this dataset: