Topological Sort for Sentence Ordering
TL
TL;DR
The results on both automatic and human metrics across four different datasets show that this new technique to solve sentence ordering is better at capturing coherence in documents.
Abstract
Sentence ordering is the task of arranging the sentences of a given text in the correct order. Recent work using deep neural networks for this task has framed it as a sequence prediction problem. In this paper, we propose a new framing of this task as a constraint solving problem and introduce a new technique to solve it. Additionally, we propose a human evaluation for this task. The results on both automatic and human metrics across four different datasets show that this new technique is better at capturing coherence in documents.
References26 items
1
Deep Attentive Ranking Networks for Learning to Order Sentences
2
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
3
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
4
Towards Content Transfer through Grounded Text Generation
5