Medical Relation Extraction
9 papers with code • 2 benchmarks • 5 datasets
Biomedical relation extraction is the task of detecting and classifying semantic relationships from biomedical text.
Benchmarks
These leaderboards are used to track progress in Medical Relation Extraction
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RadGraph
DDI
Most implemented papers
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
dmis-lab/biobert
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Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows.
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
cbluebenchmark/cblue
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ACL 2022
Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice.
Crowdsourcing Ground Truth for Medical Relation Extraction
Cognitive computing systems require human labeled data for evaluation, and often for training.
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network
sunilitggu/DDI-extraction-through-LSTM
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The two models, {\it AB-LSTM} and {\it Joint AB-LSTM} also use attentive pooling in the output of Bi-LSTM layer to assign weights to features.
A hybrid deep learning approach for medical relation extraction
Mining relationships between treatment(s) and medical problem(s) is vital in the biomedical domain.
Leveraging Dependency Forest for Neural Medical Relation Extraction
freesunshine0316/dep-forest-re
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IJCNLP 2019
Medical relation extraction discovers relations between entity mentions in text, such as research articles.
LinkBERT: Pretraining Language Models with Document Links
michiyasunaga/LinkBERT
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ACL 2022
Language model (LM) pretraining can learn various knowledge from text corpora, helping downstream tasks.
Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest
However, the quality of the 1-best dependency tree for medical texts produced by an out-of-domain parser is relatively limited so that the performance of medical relation extraction method may degenerate.
