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Syntactic Scaffolds for Semantic Structures
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We introduce the syntactic scaffold, an approach to incorporating syntactic information into semantic tasks. Syntactic scaffolds avoid expensive syntactic processing at runtime, only making use of a treebank during training, through a multitask objective. We improve over strong baselines on PropBank semantics, frame semantics, and coreference resolution, achieving competitive performance on all three tasks.
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Cited by 1 Pith paper
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UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference
Compares BERT, ESP, and Cui2Vec embeddings within ESIM on the MedNLI shared-task dataset to assess performance and internal representations for medical inference.
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