Papers with LSTM-based approach

1 papers
Harry Potter and the Action Prediction Challenge from Natural Language (N19-1)

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Challenge: Using textual descriptions of scenes, we explore the challenge of action prediction from textual description.
Approach: They propose a testbed to approximate whether text inference can be used to predict upcoming actions from textual descriptions of scenes.
Outcome: The proposed model performs best for frequent actions and large scene descriptions, but logistic regression fails on infrequent actions.

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