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doi:10.22028/D291-30981
Title: | Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction |
Author(s): | Modi, Ashutosh Titov, Ivan Demberg, Vera Sayeed, Asad Pinkal, Manfred |
Language: | English |
Title: | Transactions of the Association for Computational Linguistics |
Volume: | 5 |
Startpage: | 31 |
Endpage: | 44 |
Publisher/Platform: | ACL |
Year of Publication: | 2017 |
Publikation type: | Journal Article |
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. |
DOI of the first publication: | 10.1162/tacl_a_00044 |
URL of the first publication: | https://www.aclweb.org/anthology/Q17-1003/ |
Link to this record: | hdl:20.500.11880/29700 http://dx.doi.org/10.22028/D291-30981 |
ISSN: | 2307-387X |
Date of registration: | 22-Sep-2020 |
Faculty: | MI - Fakultät für Mathematik und Informatik |
Department: | MI - Informatik |
Professorship: | MI - Prof. Dr. Vera Demberg |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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