@inproceedings{prabhumoye-etal-2020-topological,
    title = "Topological Sort for Sentence Ordering",
    author = "Prabhumoye, Shrimai  and
      Salakhutdinov, Ruslan  and
      Black, Alan W",
    editor = "Jurafsky, Dan  and
      Chai, Joyce  and
      Schluter, Natalie  and
      Tetreault, Joel",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.acl-main.248/",
    doi = "10.18653/v1/2020.acl-main.248",
    pages = "2783--2792",
    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."
}