Papers by Susan Brown

1 papers
Learning Semantic Role Labeling from Compatible Label Sequences (2023.findings-emnlp)

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Challenge: Prior work has shown that cross-task interaction helps, but only explored multitask learning so far.
Approach: They propose a framework that jointly models VerbNet and PropBank labels as one sequence and enforcing Semlink constraints during decoding improves the overall F1 .
Outcome: The proposed model outperforms the prior best in-domain model by 3.5 (VerbNet) and 0.8 (PropBank).

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