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Script acquisition : a crowdsourcing and text mining approach
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Analyzing short-answer questions and their automatic scoring - studies on semantic relations in reading comprehension and the reduction of human annotation effort
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DNB Subject Category Language
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Analyzing short-answer questions and their automatic scoring - studies on semantic relations in reading comprehension and the reduction of human annotation effort
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Horbach, Andrea. - : Saarländische Universitäts- und Landesbibliothek, 2019
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InScript: Narrative texts annotated with script information ...
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Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction ...
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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. ... : 14 pages, published at TACL, 2017, Volume-5, Pg 31-44, 2017 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning stat.ML
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URL: https://arxiv.org/abs/1702.03121 https://dx.doi.org/10.48550/arxiv.1702.03121
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States, events, and generics: computational modeling of situation entity types ; Zustände, Ereignisse und Generizität: computergestützte Modellierung von Situationstypen
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Form and meaning in dialog-based computer-assisted language learning ; Form und Bedeutung im dialog-basierten computer-unterstützten Sprachenlernen
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Improving the Performance of Standard Part-of-Speech Taggers for Computer-Mediated Communication
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Event structures in knowledge, pictures and text ; Ereignis-Strukturen in Wissen, Bildern und Text
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