@article{TACL968,
        author = {Modi, Ashutosh  and Titov, Ivan  and Demberg, Vera  and
Sayeed, Asad  and Pinkal, Manfred },
        title = {Modelling Semantic Expectation: Using Script Knowledge for
Referent Prediction},
        journal = {Transactions of the Association for Computational
Linguistics},
        volume = {5},
        year = {2017},
        keywords = {},
        abstract = {Recent research in psycholinguistics has provided
increasing evidence that humans predict upcoming content. Prediction also
affects perception and might be a key to robustness in human language
processing. In this paper, we investigate the factors that affect human
prediction by building a computational model that can predict upcoming
discourse referents based on linguistic knowledge alone vs. linguistic
knowledge jointly with common-sense knowledge in the form of scripts. We
find that script knowledge significantly improves model estimates of human
predictions. In a second study, we test the highly controversial hypothesis
that predictability influences referring expression type but do not find
evidence for such an effect.},
        issn = {2307-387X},
        url = {https://transacl.org/ojs/index.php/tacl/article/view/968},
        pages = {31--44}
}