Papers with Order Discrimination tasks

1 papers
Deep Attentive Sentence Ordering Network (D18-1)

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Challenge: Existing methods for sentence ordering tasks rely on linguistic knowledge and are domain specific.
Approach: They propose a deep attentive sentence ordering network which integrates self-attention mechanism with LSTMs in the encoding of input sentences.
Outcome: The proposed model outperforms the state-of-the-art models on Sentence Ordering and Order Discrimination tasks and is shown to be highly efficient.

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