Search Results for author:
Found 5 papers, 2 papers with code
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models
These knowledge adapters are pre-trained for individual domain knowledge sources and integrated via an attention-based knowledge controller to enrich PLMs.
Textual Data Augmentation for Patient Outcomes Prediction
Deep learning models have demonstrated superior performance in various healthcare applications.
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution
Unplanned intensive care unit (ICU) readmission rate is an important metric for evaluating the quality of hospital care.
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
Entity linking (EL), the task of disambiguating mentions in text by linking them to entities in a knowledge graph, is crucial for text understanding, question answering or conversational systems.
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization
Network representation learning (NRL) is crucial in the area of graph learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
