Link-topic model for biomedical abbreviation disambiguation
We suggest the link topic model for disambiguating biomedical abbreviations. The model chooses the most probably sense that generates the entire document with its underlying topic. Two distinct modes for word generation are designed to explore semantic dependencies between words. A word is generated either dependently on a specific long form or independently.
umls unified medical language system mesh medical subject headings cui concept unique identifiers lda latent dirichlet allocation svm support vector machine me maximum entropy wsd word sense disambiguation