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