Medical Relation Extraction
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Benchmarks
CMeIE
Most implemented
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest
LinkBERT: Pretraining Language Models with Document Links
Leveraging Dependency Forest for Neural Medical Relation Extraction
Papers
Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension
Extracting causal relationships from a medical case report is essential for comprehending the case, particularly its diagnostic process. Since the diagnostic process is regarded as a bottom-up inference, causal relations…
DiagnosticMedical Relation ExtractionQuestion AnsweringReading Comprehension+1Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution
Federated medical relation extraction enables multiple clients to train a deep network collaboratively without sharing their raw medical data. In order to handle the heterogeneous label distribution across clients, most …
Medical Relation ExtractionRelationRelation ExtractionSupporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest
Medical Relation Extraction (MRE) task aims to extract relations between entities in medical texts. Traditional relation extraction methods achieve impressive success by exploring the syntactic information, e.g., depende…
Medical Relation ExtractionRelationRelation ExtractionLinkBERT: Pretraining Language Models with Document Links
Language model (LM) pretraining can learn various knowledge from text corpora, helping downstream tasks. However, existing methods such as BERT model a single document, and do not capture dependencies or knowledge that s…
Document ClassificationLanguage ModelingLanguage ModellingMasked Language Modeling+10GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records
There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the…
Clinical Concept ExtractionLanguage ModelingLanguage ModellingMedical Question Answering+6CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice. With the development of biomedical language understanding benchmarks, AI applicat…
Intent ClassificationMedical Concept NormalizationMedical Relation ExtractionNamed Entity Recognition+6