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Eliciting positive emotion through strategic responses to COVID-19 crisis: evidence from the tourism sector
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Improving question answering over knowledge graphs using graph summarization
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In: Li, S., Wong, K.W. <https://researchrepository.murdoch.edu.au/view/author/Wong, Kevin (Kok Wai).html>, Fung, C.C. <https://researchrepository.murdoch.edu.au/view/author/Fung, Lance (Chun Che).html>orcid:0000-0001-5182-3558 and Zhu, D. (2021) Improving question answering over knowledge graphs using graph summarization. Lecture Notes in Computer Science, 13111 . pp. 489-500. (2021)
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In praise of holistic scholarship : a collective essay in memory of Mark Easterby-Smith
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Guiding the growth : difficulty-controllable question generation through step-by-step rewriting
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A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions
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Terminology translation in Chinese contexts - theory and practice
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Establishing a role for the visual complexity of lingustic stimuli in age-related reading difficulty: Evidence from eye movements during Chinese reading
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Li, L; Li, S; Xie, F. - : Springer (part of Springer Nature), Psychonomic Society, 2019
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Adult Age Differences in Effects of Text Spacing on Eye Movements During Reading.
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K-12 Chinese Language Teachers’ Perceptions of Classroom Portfolio Assessment
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What cross-morphemic letter transposition in derived nonwords tells us about lexical processing
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The Effects of the Timing of Corrective Feedback on the Acquisition of a New Linguistic Structure
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De Novo Mutations in DENR Disrupt Neuronal Development and Link Congenital Neurological Disorders to Faulty mRNA Translation Re-initiation
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Task-Based Versus Task-Supported Language Instruction: An Experimental Study
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Adult Age differences in Eye Movements during Reading: The Evidence from Chinese
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Supporting collocation learning and teaching with a Chinese collocation profile database
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Guo, S; Li, S. - : China Social Sciences Press, 2016. : http://www.tclt.us/journal/, 2016
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Beyond the 'dyad': a qualitative re-evaluation of the changing clinical consultation.
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Exploring the knowledge behind predictions in everyday cognition: an iterated learning study
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Abstract:
Making accurate predictions about events is an important but difficult task. Recent work suggests that people are adept at this task, making predictions that reflect surprisingly accurate knowledge of the distributions of real quantities. Across three experiments, we used an iterated learning procedure to explore the basis of this knowledge: to what extent is domain experience critical to accurate predictions and how accurate are people when faced with unfamiliar domains? In Experiment 1, two groups of participants, one resident in Australia, the other in China, predicted the values of quantities familiar to both (movie run-times), unfamiliar to both (the lengths of Pharaoh reigns), and familiar to one but unfamiliar to the other (cake baking durations and the lengths of Beijing bus routes). While predictions from both groups were reasonably accurate overall, predictions were inaccurate in the selectively unfamiliar domains and, surprisingly, predictions by the China-resident group were also inaccurate for a highly familiar domain: local bus route lengths. Focusing on bus routes, two follow-up experiments with Australia-resident groups clarified the knowledge and strategies that people draw upon, plus important determinants of accurate predictions. For unfamiliar domains, people appear to rely on extrapolating from (not simply directly applying) related knowledge. However, we show that people's predictions are subject to two sources of error: in the estimation of quantities in a familiar domain and extension to plausible values in an unfamiliar domain. We propose that the key to successful predictions is not simply domain experience itself, but explicit experience of relevant quantities. ; Rachel G. Stephens, John C. Dunn, Li-Lin Rao, Shu Li
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Keyword:
Bayesian inference; Cross-cultural comparison; Everyday reasoning; Iterated learning
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URL: https://doi.org/10.3758/s13421-015-0522-6 http://hdl.handle.net/2440/94996
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Measurement of the muon reconstruction performance of the ATLAS detector using 2011 and 2012 LHC proton-proton collision data.
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In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2014)
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