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• W2950810411 abstract "Structured information about entities is critical for many semantic parsing tasks. We present an approach that uses a Graph Neural Network (GNN) architecture to incorporate information about relevant entities and their relations during parsing. Combined with a decoder copy mechanism, this approach provides a conceptually simple mechanism to generate logical forms with entities. We demonstrate that this approach is competitive with the state-of-the-art across several tasks without pre-training, and outperforms existing approaches when combined with BERT pre-training." @default.
• W2950810411 created "2019-06-27" @default.
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• W2950810411 date "2019-05-21" @default.
• W2950810411 modified "2023-09-27" @default.
• W2950810411 title "Generating Logical Forms from Graph Representations of Text and Entities" @default.
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• W2950810411 hasPublicationYear "2019" @default.
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