multilinguality:monolingual language:en license:cc0-1.0 region:us
MiniMayoSRS is a subset of the MayoSRS and consists of 30 term pairs on which a higher inter-annotator agreement was
achieved. The average correlation between physicians is 0.68. The average correlation between medical coders is 0.78.
@article{pedersen2007measures,
  title={Measures of semantic similarity and relatedness in the biomedical domain},
  author={Pedersen, Ted and Pakhomov, Serguei VS and Patwardhan, Siddharth and Chute, Christopher G},
  journal={Journal of biomedical informatics},
  volume={40},
  number={3},
  pages={288--299},
  year={2007},
  publisher={Elsevier}
}

---
language: 
- en
bigbio_language: 
- English
license: cc0-1.0
multilinguality: monolingual
bigbio_license_shortname: CC0_1p0
pretty_name: MiniMayoSRS
homepage: https://conservancy.umn.edu/handle/11299/196265
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks: 
- SEMANTIC_SIMILARITY
---


# Dataset Card for MiniMayoSRS

## Dataset Description

- **Homepage:** https://conservancy.umn.edu/handle/11299/196265
- **Pubmed:** False
- **Public:** True
- **Tasks:** STS


MiniMayoSRS is a subset of the MayoSRS and consists of 30 term pairs on which a higher inter-annotator agreement was
achieved. The average correlation between physicians is 0.68. The average correlation between medical coders is 0.78.



## Citation Information

```
@article{pedersen2007measures,
  title={Measures of semantic similarity and relatedness in the biomedical domain},
  author={Pedersen, Ted and Pakhomov, Serguei VS and Patwardhan, Siddharth and Chute, Christopher G},
  journal={Journal of biomedical informatics},
  volume={40},
  number={3},
  pages={288--299},
  year={2007},
  publisher={Elsevier}
}

```
