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--- |
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language: |
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- en |
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bigbio_language: |
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- English |
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license: cc0-1.0 |
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multilinguality: monolingual |
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bigbio_license_shortname: CC0_1p0 |
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pretty_name: UMNSRS |
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homepage: https://conservancy.umn.edu/handle/11299/196265/ |
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bigbio_pubmed: False |
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bigbio_public: True |
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bigbio_tasks: |
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- SEMANTIC_SIMILARITY |
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--- |
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# Dataset Card for UMNSRS |
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## Dataset Description |
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- **Homepage:** https://conservancy.umn.edu/handle/11299/196265/ |
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- **Pubmed:** False |
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- **Public:** True |
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- **Tasks:** STS |
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UMNSRS, developed by Pakhomov, et al., consists of 725 clinical term pairs whose semantic similarity and relatedness. |
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The similarity and relatedness of each term pair was annotated based on a continuous scale by having the resident touch |
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a bar on a touch sensitive computer screen to indicate the degree of similarity or relatedness. |
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The following subsets are available: |
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- similarity: A set of 566 UMLS concept pairs manually rated for semantic similarity (e.g. whale-dolphin) using a |
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continuous response scale. |
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- relatedness: A set of 588 UMLS concept pairs manually rated for semantic relatedness (e.g. needle-thread) using a |
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continuous response scale. |
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- similarity_mod: Modification of the UMNSRS-Similarity dataset to exclude control samples and those pairs that did not |
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match text in clinical, biomedical and general English corpora. Exact modifications are detailed in the paper (Corpus |
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Domain Effects on Distributional Semantic Modeling of Medical Terms. Serguei V.S. Pakhomov, Greg Finley, Reed McEwan, |
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Yan Wang, and Genevieve B. Melton. Bioinformatics. 2016; 32(23):3635-3644). The resulting dataset contains 449 pairs. |
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- relatedness_mod: Modification of the UMNSRS-Relatedness dataset to exclude control samples and those pairs that did |
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not match text in clinical, biomedical and general English corpora. Exact modifications are detailed in the paper |
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(Corpus Domain Effects on Distributional Semantic Modeling of Medical Terms. Serguei V.S. Pakhomov, Greg Finley, |
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Reed McEwan, Yan Wang, and Genevieve B. Melton. Bioinformatics. 2016; 32(23):3635-3644). |
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The resulting dataset contains 458 pairs. |
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## Citation Information |
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``` |
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@inproceedings{pakhomov2010semantic, |
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title={Semantic similarity and relatedness between clinical terms: an experimental study}, |
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author={Pakhomov, Serguei and McInnes, Bridget and Adam, Terrence and Liu, Ying and Pedersen, Ted and Melton, Genevieve B}, |
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booktitle={AMIA annual symposium proceedings}, |
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volume={2010}, |
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pages={572}, |
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year={2010}, |
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organization={American Medical Informatics Association} |
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} |
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``` |
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