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Found 2 papers, 2 papers with code
DynGL-SDP: Dynamic Graph Learning for Semantic Dependency Parsing
A recent success in semantic dependency parsing shows that graph neural networks can make significant accuracy improvements, owing to its powerful ability in learning expressive graph representations.
A Higher-Order Semantic Dependency Parser
Higher-order features bring significant accuracy gains in semantic dependency parsing.
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