Methods for Building Sense Inventories of Abbreviations in Clinical Notes

The authors developed an effective clustering-based method for building corpus-specific sense inventories for abbreviations in a clinical corpus. To the best of the authors knowledge, this is the first time clustering technologies have been used to help building sense inventories of abbreviations in clinical text. The results demonstrated that the clustering-based method performed better than the manual annotation method using random samples for the task of building sense inventories of clinical abbreviations.