Research on Chinese electronic medical record oriented lexical corpus annotation

Considering that the research on Chinese word segmentation and part-of-speech (POS) tagging for Chinese electronic medical record (CEMR) is currently at a blank stage because of the lack of annotated corpus on CEMR, a complete scheme for data preprocessing to corpus annotation was proposed starting from corpus construction on CEMR so as to obtain a higher annotation consistency, and to build corpus with larger scale and higher quality on CEMR. Furthermore, the statistical lexical differences between CEMR, open-domain corpus and English electronic health record were quantified, and the systematic error analysis was performed on a POS tagging model trained on open-domain corpus. The work lays the foundation for the research on natural language processing (NLP) technologies for CEMR.