Binary Relation Extraction
4 papers with code • 2 benchmarks • 3 datasets
SciREX
BioRED
BB
Most implemented papers
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019
Our RE system ranked first in the SeeDev-binary Relation Extraction Task with F1-score of 0. 3738.
Document-level Entity-based Extraction as Template Generation
PlusLabNLP/TempGen
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EMNLP 2021
Document-level entity-based extraction (EE), aiming at extracting entity-centric information such as entity roles and entity relations, is key to automatic knowledge acquisition from text corpora for various domains.
Multi-Attribute Relation Extraction (MARE) -- Simplifying the Application of Relation Extraction
mslars/mare
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Extracting relations with an arbitrary amount of attributes requires complex systems and costly relation-trigger annotations to assist these systems.
BioRED: A Rich Biomedical Relation Extraction Dataset
However, most existing benchmarking datasets for bio-medical RE only focus on relations of a single type (e. g., protein-protein interactions) at the sentence level, greatly limiting the development of RE systems in biomedicine.
