

# Dataset Card for BIOSSES


## Dataset Description

- **Homepage:** https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html
- **Pubmed:** True
- **Public:** True
- **Tasks:** STS

BIOSSES computes similarity of biomedical sentences by utilizing WordNet as the general domain ontology and UMLS as the biomedical domain specific ontology. The original paper outlines the approaches with respect to using annotator score as golden standard. Source view will return all annotator score individually whereas the Bigbio view will return the mean of the annotator score.


## Citation Information

```
@article{souganciouglu2017biosses,
  title={BIOSSES: a semantic sentence similarity estimation system for the biomedical domain},
  author={Soğancıoğlu, Gizem, Hakime Öztürk, and Arzucan Özgür},
  journal={Bioinformatics},
  volume={33},
  number={14},
  pages={i49--i58},
  year={2017},
  publisher={Oxford University Press}
}
```

multilinguality:monolingual language:en license:gpl-3.0 region:us
{"language": ["en"], "license": "gpl-3.0", "multilinguality": "monolingual", "pretty_name": "BIOSSES", "bigbio_language": ["English"], "bigbio_license_shortname": "GPL_3p0", "homepage": "https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html", "bigbio_pubmed": false, "bigbio_public": true, "bigbio_tasks": ["SEMANTIC_SIMILARITY"]}
TAGS
#multilinguality-monolingual #language-English #license-gpl-3.0 #region-us 



# Dataset Card for BIOSSES


## Dataset Description

- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: STS

BIOSSES computes similarity of biomedical sentences by utilizing WordNet as the general domain ontology and UMLS as the biomedical domain specific ontology. The original paper outlines the approaches with respect to using annotator score as golden standard. Source view will return all annotator score individually whereas the Bigbio view will return the mean of the annotator score.






# Dataset Card for BIOSSES ## Dataset Description

- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: STS

BIOSSES computes similarity of biomedical sentences by utilizing WordNet as the general domain ontology and UMLS as the biomedical domain specific ontology. The original paper outlines the approaches with respect to using annotator score as golden standard. Source view will return all annotator score individually whereas the Bigbio view will return the mean of the annotator score.
TAGS
#multilinguality-monolingual #language-English #license-gpl-3.0 #region-us 
 # Dataset Card for BIOSSES ## Dataset Description

- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: STS

BIOSSES computes similarity of biomedical sentences by utilizing WordNet as the general domain ontology and UMLS as the biomedical domain specific ontology. The original paper outlines the approaches with respect to using annotator score as golden standard. Source view will return all annotator score individually whereas the Bigbio view will return the mean of the annotator score.
passage: TAGS
#multilinguality-monolingual #language-English #license-gpl-3.0 #region-us 
# Dataset Card for BIOSSES## Dataset Description

- Homepage: URL
- Pubmed: True
- Public: True
- Tasks: STS

BIOSSES computes similarity of biomedical sentences by utilizing WordNet as the general domain ontology and UMLS as the biomedical domain specific ontology. The original paper outlines the approaches with respect to using annotator score as golden standard. Source view will return all annotator score individually whereas the Bigbio view will return the mean of the annotator score.