@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}
}