Abstract
The period character's meaning is highly ambiguous due to the frequency of abbreviations that require to be followed by a period. We have developed a hybrid method for period character disambiguation and the identification of abbreviations, combining rules that explore regularities in the right context of the period with lexicon-based, statistical methods which scrutinize the preceding token. The texts under scrutiny are clinical discharge summaries. Both abbreviation detection and sentence delimitation showed an accuracy of about 93%. An error analysis demonstrated potential for further improvements.
Cite
CITATION STYLE
Kreuzthaler, M., & Schulz, S. (2014). Disambiguation of period characters in clinical narratives. In Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis, Louhi 2014 at the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014 (pp. 96–100). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-1115
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
