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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: other |
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multilinguality: monolingual |
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bigbio_license_shortname: UMLS_LICENSE |
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pretty_name: MSH WSD |
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homepage: https://lhncbc.nlm.nih.gov/ii/areas/WSD/collaboration.html |
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bigbio_pubmed: True |
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bigbio_public: False |
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bigbio_tasks: |
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- NAMED_ENTITY_DISAMBIGUATION |
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--- |
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# Dataset Card for MSH WSD |
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## Dataset Description |
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- **Homepage:** https://lhncbc.nlm.nih.gov/ii/areas/WSD/collaboration.html |
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- **Pubmed:** True |
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- **Public:** False |
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- **Tasks:** NED |
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Evaluation of Word Sense Disambiguation methods (WSD) in the biomedical domain is difficult because the available |
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resources are either too small or too focused on specific types of entities (e.g. diseases or genes). We have |
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developed a method that can be used to automatically develop a WSD test collection using the Unified Medical Language |
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System (UMLS) Metathesaurus and the manual MeSH indexing of MEDLINE. The resulting dataset is called MSH WSD and |
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consists of 106 ambiguous abbreviations, 88 ambiguous terms and 9 which are a combination of both, for a total of 203 |
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ambiguous words. Each instance containing the ambiguous word was assigned a CUI from the 2009AB version of the UMLS. |
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For each ambiguous term/abbreviation, the data set contains a maximum of 100 instances per sense obtained from |
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MEDLINE; totaling 37,888 ambiguity cases in 37,090 MEDLINE citations. |
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## Citation Information |
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``` |
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@article{jimeno2011exploiting, |
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title={Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation}, |
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author={Jimeno-Yepes, Antonio J and McInnes, Bridget T and Aronson, Alan R}, |
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journal={BMC bioinformatics}, |
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volume={12}, |
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number={1}, |
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pages={1--14}, |
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year={2011}, |
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publisher={BioMed Central} |
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} |
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``` |
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