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a corpus in which the arguments of each predicate are annotated with their semantic roles about the predicate [97] Abbreviations ACC: Accuracy AE: Adverse event AEFI: Adverse event following immunization ADE: Adverse drug event ADR: Adverse drug reaction AI: Artificial intelligence AKNN: Adaptive k -nearest neighbors ALBERT: A lite BERT AUC: Area under the ROC curve BERT: Bidirectional encoder representations from transformers BERTweet: BERT model pretrained on Twitter BioBERT: BERT pretrained on biomedical text Bio_ClinicalBERT: BERT pretrained on clinical text BioELECTRA: ELECTRA pretrained on biomedical text BLIP: Bootstrapping language-image pretraining (vision-language) BoW: Bag-of-words BTM: Biterm topic model CADEC: Corpus of adverse drug event annotations CADECv2: Updated CADEC corpus CAM: Complementary and alternative medicine CHV: Consumer health vocabulary CNN: Convolutional neural network CRF: Conditional random field cTAKES: Clinical text analysis and knowledge extraction system DeBERTa: Decoding-enhanced BERT with disentangled attention DeepWalk: Random-walk-based graph embedding DL: Deep learning DT: Decision tree EHR: Electronic health record EL: Entity Linking ELMo: Embeddings from language models ERNIE: Enhanced representation through knowledge integration FAERS: FDA adverse event reporting system FDA: U.S

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Modulating the evolutionary trajectory of tolerance using antibiotics with different metabolic dependencies

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