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An in-depth evaluation of federated learning on biomedical natural language processing for information extraction npj Digital Medicine

Interactive Natural Language Grounding via Referring Expression Comprehension and Scene Graph Parsing The first features we extract are the layerwise “embeddings,” which are the de facto Transformer feature used for most applications, including prior work in neuroscience78. The embeddings represent the contextualized semantic content, with information accumulating across successive layers as the Transformer blocks extract

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