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SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data.

, , , , , and . SemEval@ACL, page 2216-2226. Association for Computational Linguistics, (2023)

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Encoding Explanatory Knowledge for Zero-shot Science Question Answering., , , and . CoRR, (2021)Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data., , , , and . CoRR, (2022)SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data., , , , , and . SemEval@ACL, page 2216-2226. Association for Computational Linguistics, (2023)A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data., , , , and . BMC Bioinform., 24 (1): 198 (December 2023)Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems., , , and . CoRR, (2021)Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy., , , , , , , , , and . J. Biomed. Informatics, (June 2023)What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP., , , and . Eval4NLP, page 209-229. Association for Computational Linguistics, (2021)Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making., , , , , , and . Artif. Intell., (March 2023)Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives., , , and . CoRR, (2022)NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports., , , , , and . EMNLP, page 16745-16764. Association for Computational Linguistics, (2023)