Papers with neural structured prediction task

1 papers
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge (D18-1)

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Challenge: Recent work has shown impressive progress in comprehending procedural text, but their predictions can be inconsistent or highly improbable.
Approach: They propose to incorporate global constraints and bias reading with corpora-based preferences to improve the predicted effects of actions in a paragraph.
Outcome: The proposed model significantly outperforms earlier models on a benchmark dataset for procedural text comprehension (+8% relative gain) it avoids nonsensical predictions that earlier models make, and it is more robust than previous models.

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