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Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations.

, , , , , , and . ACL (1), page 9871-9889. Association for Computational Linguistics, (2023)

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Challenges and Opportunities in Applied Machine Learning., , , and . AI Magazine, 33 (1): 11-24 (2012)Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations., , , , , and . CoRR, (2020)Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization., , , and . CoRR, (2020)Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data., , , and . CoRR, (2020)ERASER: A Benchmark to Evaluate Rationalized NLP Models., , , , , , and . CoRR, (2019)Active Discriminative Word Embedding Learning., and . CoRR, (2016)Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data., , , and . BMC medical research methodology, (January 2009)6213<m:linebreak></m:linebreak>LR: 20100928; GR: 290-02-0022/PHS HHS/United States; GR: R01HS018574/HS/AHRQ HHS/United States; GR: R33 RR17109/RR/NCRR NIH HHS/United States; JID: 100968545; OID: NLM: PMC2795760; 2009/04/30 received; 2009/12/04 accepted; 2009/12/04 aheadofprint; epublish;<m:linebreak></m:linebreak>Software estadístic; Metaanàlisi.Revisiting Relation Extraction in the era of Large Language Models, , and . (2021)FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence., , , , , , , and . CoRR, (2024)Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges., , , , , , and . CoRR, (2023)