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Order the following parsing models or configurations from lowest to highest F1 score achieved on Section 23 of the Wall Street Journal (WSJ) dataset.
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Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Ch.2 Transformer Training and Evaluation - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Machine Translation and Constituency Parsing Evaluation - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Related
Match each training setup or baseline model from the English constituency parsing experiments to its corresponding description.
Order the following parsing models or configurations from lowest to highest F1 score achieved on Section 23 of the Wall Street Journal (WSJ) dataset.
Analyze the structural characteristics of constituency parsing that make these results significant for evaluating the Transformer's generalization capabilities, and explain how scaling from the discriminative to the semi-supervised regime affected performance relative to established parsing baselines.