The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for MSH WSD
Evaluation of Word Sense Disambiguation methods (WSD) in the biomedical domain is difficult because the available resources are either too small or too focused on specific types of entities (e.g. diseases or genes). We have developed a method that can be used to automatically develop a WSD test collection using the Unified Medical Language System (UMLS) Metathesaurus and the manual MeSH indexing of MEDLINE. The resulting dataset is called MSH WSD and consists of 106 ambiguous abbreviations, 88 ambiguous terms and 9 which are a combination of both, for a total of 203 ambiguous words. Each instance containing the ambiguous word was assigned a CUI from the 2009AB version of the UMLS. For each ambiguous term/abbreviation, the data set contains a maximum of 100 instances per sense obtained from MEDLINE; totaling 37,888 ambiguity cases in 37,090 MEDLINE citations.
Citation Information
@article{jimeno2011exploiting,
title={Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation},
author={Jimeno-Yepes, Antonio J and McInnes, Bridget T and Aronson, Alan R},
journal={BMC bioinformatics},
volume={12},
number={1},
pages={1--14},
year={2011},
publisher={BioMed Central}
}
- Downloads last month
- 50