RT Journal Article SR Electronic(1) A1 Vo, Chau A1 Cao, Tru A1 Truong, Ngoc A1 Ngo, Trung A1 Bui, Dai YR 2022 T1 Automatic medical term extraction from Vietnamese clinical texts JF Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication VO 28 IS 2 SP 299 OP 327 DO https://doi.org/10.1075/term.20037.vo PB John Benjamins SN 0929-9971, AB Abstract

In this paper, we propose the first method for automatic Vietnamese medical term discovery and extraction from clinical texts. The method combines linguistic filtering based on our defined open patterns with nested term extraction and statistical ranking using C-value. It does not require annotated corpora, external data resources, parameter settings, or term length restriction. Beside its specialty in handling Vietnamese medical terms, another novelty is that it uses Pointwise Mutual Information to split nested terms and the disjunctive acceptance condition to extract them. Evaluated on real Vietnamese electronic medical records, it achieves a precision of about 74% and recall of about 92% and is proved stably effective with small datasets. It outperforms the previous works in the same category of not using annotated corpora and external data resources. Our method and empirical evaluation analysis can lay a foundation for further research and development in Vietnamese medical term discovery and extraction., UL https://www.jbe-platform.com/content/journals/10.1075/term.20037.vo