Leveraging Sublanguage Features for the Semantic Categorization of Clinical Terms

Leonie Grön, Ann Bertels, Kris Heylen


Abstract
The automatic processing of clinical documents, such as Electronic Health Records (EHRs), could benefit substantially from the enrichment of medical terminologies with terms encountered in clinical practice. To integrate such terms into existing knowledge sources, they must be linked to corresponding concepts. We present a method for the semantic categorization of clinical terms based on their surface form. We find that features based on sublanguage properties can provide valuable cues for the classification of term variants.
Anthology ID:
W19-5022
Volume:
Proceedings of the 18th BioNLP Workshop and Shared Task
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | BioNLP | WS
SIG:
SIGBIOMED
Publisher:
Association for Computational Linguistics
Note:
Pages:
211–216
Language:
URL:
https://aclanthology.org/W19-5022
DOI:
10.18653/v1/W19-5022
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/W19-5022.pdf