@inproceedings{li-etal-2018-modeling,
    title = "Modeling Brain Activity Associated with Pronoun Resolution in {E}nglish and {C}hinese",
    author = "Li, Jixing  and
      Fabre, Murielle  and
      Luh, Wen-Ming  and
      Hale, John",
    editor = "Poesio, Massimo  and
      Ng, Vincent  and
      Ogrodniczuk, Maciej",
    booktitle = "Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/W18-0710/",
    doi = "10.18653/v1/W18-0710",
    pages = "87--96",
    abstract = "Typological differences between English and Chinese suggest stronger reliance on salience of the antecedent during pronoun resolution in Chinese. We examined this hypothesis by correlating a difficulty measure of pronoun resolution derived by the activation-based ACT-R model with the brain activity of English and Chinese participants listening to a same audiobook during fMRI recording. The ACT-R model predicts higher overall difficulty for English speakers, which is supported at the brain level in left Broca{'}s area. More generally, it confirms that computational modeling approach is able to dissociate different dimensions that are involved in the complex process of pronoun resolution in the brain."
}