DocRED

Dataset Information
Modalities
Texts
Languages
English
Introduced
2019
License
Unknown
Homepage
Official Website
Contents

Overview

DocRED (Document-Level Relation Extraction Dataset) is a relation extraction dataset constructed from Wikipedia and Wikidata. Each document in the dataset is human-annotated with named entity mentions, coreference information, intra- and inter-sentence relations, and supporting evidence. DocRED requires reading multiple sentences in a document to extract entities and infer their relations by synthesizing all information of the document. Along with the human-annotated data, the dataset provides large-scale distantly supervised data.

DocRED contains 132,375 entities and 56,354 relational facts annotated on 5,053 Wikipedia documents. In addition to the human-annotated data, the dataset provides large-scale distantly supervised data over 101,873 documents.

Source: DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Image Source: DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Variants: DocRED

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Relation Extraction DREEAM DREEAM: Guiding Attention with Evidence … 2023-02-17
Relation Extraction ATLOP + KIRE Enhancing Document-level Relation Extraction by … 2022-07-23
Relation Extraction SSAN+RSMAN Relation-Specific Attentions over Entity Mentions … 2022-05-28
Relation Extraction FineCL Fine-grained Contrastive Learning for Relation … 2022-05-25
Relation Extraction ERACL Improving Long Tailed Document-Level Relation … 2022-05-21
Relation Extraction GAIN+SIEF Document-Level Relation Extraction with Sentences … 2022-04-27
Relation Extraction DRE-MIR-BERTbase A Masked Image Reconstruction Network … 2022-04-21
Relation Extraction Dense-CCNet-BERTbase A Densely Connected Criss-Cross Attention … 2022-03-26
Relation Extraction KD-Rb-l Document-Level Relation Extraction with Adaptive … 2022-03-21
Relation Extraction CorefDRE- BERT CorefDRE: Document-level Relation Extraction with … 2022-02-22
Relation Extraction CGM2IR-RoBERTalarge Document-level Relation Extraction with Context … 2022-01-13
Relation Extraction CGM2IR-BERTbase Document-level Relation Extraction with Context … 2022-01-13
Relation Extraction ATLOP + LogiRE Learning Logic Rules for Document-level … 2021-11-09
Relation Extraction GAIN + LogiRE Learning Logic Rules for Document-level … 2021-11-09
Relation Extraction SAIS-BERT-base SAIS: Supervising and Augmenting Intermediate … 2021-09-24
Relation Extraction SAIS-RoBERTa-large SAIS: Supervising and Augmenting Intermediate … 2021-09-24
Relation Extraction Eider-BERT-base Eider: Empowering Document-level Relation Extraction … 2021-06-16
Relation Extraction Eider-RoBERTa-large Eider: Empowering Document-level Relation Extraction … 2021-06-16
Relation Extraction DocuNet-RoBERTa-large Document-level Relation Extraction as Semantic … 2021-06-07
Relation Extraction DRN-BERT-base Discriminative Reasoning for Document-level Relation … 2021-06-03

Research Papers

Recent papers with results on this dataset:

External Links: