Papers with DGN

2 papers
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks (D19-53)

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Challenge: Recent advances in reading comprehension have resulted in models that surpass human performance when the answer is contained in a single, continuous passage of text.
Approach: They propose a document-structured message passing architecture for the identification of supporting facts over a graph-structure based representation of text.
Outcome: The proposed model outperforms a baseline reading comprehension test on raw text and shows that it is relevant for multi-hop reasoning.
Charge-Based Prison Term Prediction with Deep Gating Network (D19-1)

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Challenge: Existing work merely predicts the total prison term, but in reality a defendant is often charged with multiple crimes.
Approach: They propose a charge-based prison term prediction task that better fits real needs and makes it more accurate and interpretable.
Outcome: The proposed method achieves state-of-the-art performance for charge-specific feature selection and aggregation.

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