14 papers with code • 0 benchmarks • 0 datasets
Sentence ordering task deals with finding the correct order of sentences given a randomly ordered paragraph.
These leaderboards are used to track progress in Sentence Ordering
In this paper, we propose a novel deep coherence model (DCM) using a convolutional neural network architecture to capture the text coherence.
Although SGD requires shuffling the training data between epochs, currently none of the word-level language modeling systems do this.
Our experiments on five benchmark datasets show that our method outperforms all the existing baselines significantly, achieving a new state-of-the-art performance.
Dominant sentence ordering models can be classified into pairwise ordering models and set-to-sequence models.