Papers by Philip Massey

1 papers
Generating Logical Forms from Graph Representations of Text and Entities (P19-1)

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Challenge: Recent approaches to semantic parsing have cast it as a sequence-to-sequence task, with strong results.
Approach: They propose a Graph Neural Network architecture to incorporate information about relevant entities and their relations during parsing.
Outcome: The proposed approach outperforms the state-of-the-art in several tasks without pre-training and outperformed existing approaches when combined with BERT pre-trainment.

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