[HTML][HTML] Integrating domain knowledge for biomedical text analysis into deep learning: A survey
The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …
[HTML][HTML] Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study
S Liu, A Wang, X Xiu, M Zhong, S Wu - JMIR Medical …, 2024 - medinform.jmir.org
Background: Named entity recognition (NER) models are essential for extracting structured
information from unstructured medical texts by identifying entities such as diseases …
information from unstructured medical texts by identifying entities such as diseases …
A Review of Knowledge Graph in Traditional Chinese Medicine: Analysis, Construction, Application and Prospects.
X Qu, Z Tian, J Cui, R Li, D Li… - Computers, Materials & …, 2024 - search.ebscohost.com
As an advanced data science technology, the knowledge graph systematically integrates
and displays the knowledge framework within the field of traditional Chinese medicine …
and displays the knowledge framework within the field of traditional Chinese medicine …
garNER at SemEval-2023: Simplified Knowledge Augmentation for Multilingual Complex Named Entity Recognition
MZ Hossain, AHZ So, S Silwal… - Proceedings of the …, 2023 - aclanthology.org
This paper presents our solution, garNER, to the SemEval-2023 MultiConer task. We
propose a knowledge augmentation approach by directly querying entities from the …
propose a knowledge augmentation approach by directly querying entities from the …
Moving toward a standardized diagnostic statement of pituitary adenoma using an information extraction model: a real-world study based on electronic medical …
J Zhou, X Guo, L Duan, Y Yao, Y Shang… - BMC Medical Informatics …, 2022 - Springer
Purpose Diagnostic statements for pituitary adenomas (PAs) are complex and
unstandardized. We aimed to determine the most commonly used elements contained in the …
unstandardized. We aimed to determine the most commonly used elements contained in the …
Improving the Robustness of Loanword Identification in Social Media Texts
C Mi - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
As a potential bilingual resource, loanwords play a very important role in many natural
language processing tasks. If loanwords in a low-resource language can be identified …
language processing tasks. If loanwords in a low-resource language can be identified …