Papers by Jingxian Huang

1 papers
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks (P19-1)

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Challenge: Existing approaches to semantic dependency parsing are graph-based and transition-based.
Approach: They propose a second-order semantic dependency parser which takes relationships between two or more edges into account.
Outcome: The proposed algorithm outperforms existing approaches to parsing on graph-based approaches.

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