@inproceedings{brunato-etal-2023-coherent,
    title = "Coherent or Not? Stressing a Neural Language Model for Discourse Coherence in Multiple Languages",
    author = "Brunato, Dominique  and
      Dell{'}Orletta, Felice  and
      Dini, Irene  and
      Ravelli, Andrea Amelio",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-acl.680",
    doi = "10.18653/v1/2023.findings-acl.680",
    pages = "10690--10700",
    abstract = "In this study, we investigate the capability of a Neural Language Model (NLM) to distinguish between coherent and incoherent text, where the latter has been artificially created to gradually undermine local coherence within text. While previous research on coherence assessment using NLMs has primarily focused on English, we extend our investigation to multiple languages. We employ a consistent evaluation framework to compare the performance of monolingual and multilingual models in both in-domain and out-domain settings. Additionally, we explore the model{'}s performance in a cross-language scenario.",
}

In this study, we investigate the capability of a Neural Language Model (NLM) to distinguish between coherent and incoherent text, where the latter has been artificially created to gradually undermine local coherence within text. While previous research on coherence assessment using NLMs has primarily focused on English, we extend our investigation to multiple languages. We employ a consistent evaluation framework to compare the performance of monolingual and multilingual models in both in-domain and out-domain settings. Additionally, we explore the model{'}s performance in a cross-language scenario.
Brunato, Dominique Dell{'}Orletta, Felice Dini, Irene Ravelli, Andrea Amelio
Coherent or Not? Stressing a Neural Language Model for Discourse Coherence in Multiple Languages