Building a knowledge graph to enable precision medicine
Develo** personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …
understanding of disease biology and the ability to dissect the relationship between …
Knowledge-informed semantic alignment and rule interpretation for automated compliance checking
As an essential prodecure to improve design quality in the construction industry, automated
rule checking (ARC) requires intelligent rule interpretation from regulatory texts and precise …
rule checking (ARC) requires intelligent rule interpretation from regulatory texts and precise …
Obtaining better static word embeddings using contextual embedding models
C-Norm: a neural approach to few-shot entity normalization
Background Entity normalization is an important information extraction task which has
gained renewed attention in the last decade, particularly in the biomedical and life science …
gained renewed attention in the last decade, particularly in the biomedical and life science …
Towards an Italian healthcare knowledge graph
M Postiglione - Similarity Search and Applications: 14th International …, 2021 - Springer
Abstract Electronic Health Records (EHRs), Big Data, Knowledge Graphs (KGs) and
machine learning can potentially be a great step towards the technological shift from the one …
machine learning can potentially be a great step towards the technological shift from the one …
A methodology for open information extraction and representation from large scientific corpora: the CORD-19 data exploration use case
Featured Application Open Information Extraction on the COVID-19 Open Research Dataset
(CORD-19). Abstract The usefulness of automated information extraction tools in generating …
(CORD-19). Abstract The usefulness of automated information extraction tools in generating …
An ensemble CNN method for biomedical entity normalization
P Deng, H Chen, M Huang, X Ruan… - Proceedings of the 5th …, 2019 - aclanthology.org
Different representations of the same concept could often be seen in scientific reports and
publications. Entity normalization (or entity linking) is the task to match the different …
publications. Entity normalization (or entity linking) is the task to match the different …