Papers by Walker Orr

1 papers
Event Detection with Neural Networks: A Rigorous Empirical Evaluation (D18-1)

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Challenge: Neural network models have been the most successful for event detection, but they ignore syntactic relationships in the text.
Approach: They propose a GRU-based model that combines syntactic information along with temporal structure through an attention mechanism.
Outcome: The proposed model is competitive with existing models on a ACE2005 dataset.

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