# A Short Survey of Biomedical Relation Extraction Techniques

arXiv: https://arxiv.org/abs/1707.05850 · HTML: https://mlsanity.com/paper/1707.05850/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Jul 2017.

## Built on by (most cited first, 3 of 3)

- [An overview of event extraction and its applications](https://mlsanity.com/paper/2111.03212/) (2021)
- [Graph-in-Graph Network for Automatic Gene Ontology Description Generation](https://mlsanity.com/paper/2206.05311/) (2022)
- [Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach](https://mlsanity.com/paper/2311.06364/) (2023)

## Abstract (arXiv)

Biomedical information is growing rapidly in the recent years and retrieving useful data through information extraction system is getting more attention. In the current research, we focus on different aspects of relation extraction techniques in biomedical domain and briefly describe the state-of-the-art for relation extraction between a variety of biological elements.