</> Code with Papers by Syntology

Datasets › Re-DocRED

Re-DocRED (Revisiting Document Level Relation Extraction)

Introduced by Qingyu Tan et al. in Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction25 May 2022 archive 2025-07-28

The Re-DocRED Dataset resolved the following problems of DocRED:

  1. Resolved the incompleteness problem by supplementing large amounts of relation triples.
  2. Addressed the logical inconsistencies in DocRED.
  3. Corrected the coreferential errors within DocRED.
HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Relation Extraction ReDocRED TTM-RE F1 84.01 TTM-RE: Memory-Augmented Document-Level Relation Extraction chufangao/ttm-re 8 Compare
Document-level RE with incomplete labeling Re-DocRED SSR-PU F1 59.50 A Unified Positive-Unlabeled Learning Framework for... www-ye/ssr-pu 2 Compare
Document-level Relation Extraction Re-DocRED VaeDiff-DocRE F1 0.7903 VaeDiff-DocRE: End-to-end Data Augmentation Framework... khaitran22/vaediff-docre 1 Compare

Papers archive 2025-07-28

9 shown of 9 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 34. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction 1 1 18 Dec 2024 not harvested
TTM-RE: Memory-Augmented Document-Level Relation Extraction 1 1 9 Jun 2024 ran 3 of 5 samples (2 unverified)
Adaptive Hinge Balance Loss for Document-Level Relation Extraction 1 1 6 Dec 2023 not harvested
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction 1 1 17 Feb 2023 not harvested
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling 1 3 17 Oct 2022 not harvested
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation 1 1 21 Mar 2022 not harvested
Document-level Relation Extraction as Semantic Segmentation 2 1 7 Jun 2021 not harvested
An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning 1 1 11 Feb 2021 not harvested
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling 1 1 21 Oct 2020 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Relation ExtractionDocument-level Relation ExtractionDocument-level RE with incomplete labeling

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

English

Variants archive 2025-07-28

  • ReDocRED
  • Re-DocRED

2 variant names, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections