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20192023
most citedKG-BERT: BERT for Knowledge Graph Completion

382 citations · 510 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023★ 24 cited

Exploring Large Language Models for Knowledge Graph Completion

Liang Yao, Jiazhen Peng, Chengsheng Mao +1

Knowledge graphs play a vital role in numerous artificial intelligence tasks, yet they frequently face the issue of incompleteness. In this study, we explore utilizing Large Langua…

cs.CL2022★ 3 cited

AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury

Chengsheng Mao, Liang Yao, Yuan Luo

Acute kidney injury (AKI) is a common clinical syndrome characterized by a sudden episode of kidney failure or kidney damage within a few hours or a few days. Accurate early predic…

cs.CL2020★ 2 cited

Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu +1

Distributed representations of medical concepts have been used to support downstream clinical tasks recently. Electronic Health Records (EHR) capture different aspects of patients'…

cs.CL2019★ 382 cited

KG-BERT: BERT for Knowledge Graph Completion

Liang Yao, Chengsheng Mao, Yuan Luo

Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness. In this work, we propose to use pre-trained language models fo…

cs.CL2019★ 12 cited

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study

Prakash Adekkanattu, Guoqian Jiang, Yuan Luo +14

While natural language processing (NLP) of unstructured clinical narratives holds the potential for patient care and clinical research, portability of NLP approaches across multipl…