@article{ashutoshTacl2016,
title = {Modeling Semantic Expectations: Using Script Knowledge for Referent Prediction},
author = {Ashutosh Modi and Ivan Titov and Vera Demberg and Asad Sayeed and Manfred Pinkal},
url = {https://aclanthology.org/Q17-1003},
doi = {https://doi.org/10.1162/tacl_a_00044},
year = {2016},
date = {2016},
journal = {Transactions of the Association for Computational Linguistics},
pages = {31-44},
publisher = {MIT Press},
address = {Cambridge, MA},
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.},
pubstate = {published},
type = {article}
}