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1
The Neural Correlates of Spoken Sentence Comprehension in the Chinese Language: An fMRI Study
In: Psychol Res Behav Manag (2020)
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2
Тематическая группа «напитки» в русском и китайском языках : магистерская диссертация ; Theme group «drinks» in Russian and Chinese
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3
Languages and corporate savings behavior
In: Chen, S., Cronqvist, H., Ni, S. and Zhang, F. <https://researchrepository.murdoch.edu.au/view/author/Zhang, Feida (Frank).html> (2017) Languages and corporate savings behavior. Journal of Corporate Finance, 46 . pp. 320-341. (2017)
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4
Amodal completion in visual working memory
Chen, S.; Muller, Hermann J.; Conci, M.. - : American Psychological Association, 2016
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5
Evaluating topic model interpretability from a primary care physician perspective
In: Arnold, CW; Oh, A; Chen, S; & Speier, W. (2016). Evaluating topic model interpretability from a primary care physician perspective. Computer Methods and Programs in Biomedicine, 124, 67 - 75. doi:10.1016/j.cmpb.2015.10.014. UCLA: Retrieved from: http://www.escholarship.org/uc/item/21s9r0ds (2016)
Abstract: © 2015 Elsevier Ireland Ltd. Background and objective: Probabilistic topic models provide an unsupervised method for analyzing unstructured text. These models discover semantically coherent combinations of words (topics) that could be integrated in a clinical automatic summarization system for primary care physicians performing chart review. However, the human interpretability of topics discovered from clinical reports is unknown. Our objective is to assess the coherence of topics and their ability to represent the contents of clinical reports from a primary care physician's point of view. Methods: Three latent Dirichlet allocation models (50 topics, 100 topics, and 150 topics) were fit to a large collection of clinical reports. Topics were manually evaluated by primary care physicians and graduate students. Wilcoxon Signed-Rank Tests for Paired Samples were used to evaluate differences between different topic models, while differences in performance between students and primary care physicians (PCPs) were tested using Mann-Whitney U tests for each of the tasks. Results: While the 150-topic model produced the best log likelihood, participants were most accurate at identifying words that did not belong in topics learned by the 100-topic model, suggesting that 100 topics provides better relative granularity of discovered semantic themes for the data set used in this study. Models were comparable in their ability to represent the contents of documents. Primary care physicians significantly outperformed students in both tasks. Conclusion: This work establishes a baseline of interpretability for topic models trained with clinical reports, and provides insights on the appropriateness of using topic models for informatics applications. Our results indicate that PCPs find discovered topics more coherent and representative of clinical reports relative to students, warranting further research into their use for automatic summarization.
URL: http://www.escholarship.org/uc/item/21s9r0ds
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6
Modality specificity in the cerebro-cerebellar neurocircuitry during working memory
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7
Do We Know What We’re Saying? The Roles of Attention and Sensory Information During Speech Production
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8
Speech Synthesis and Generation - Modeling of Speaking Rate Influences on Mandarin Speech Prosody and Its Application to Speaking Rate-controlled TTS
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 22 (2014) 7, 1158-1171
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9
Modeling of Speaking Rate Influences on Mandarin Speech Prosody and Its Application to Speaking Rate-controlled TTS
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 22 (2014) 7, 1158
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10
Converting Neural Network Language Models into Back-off Language Models for Efficient Decoding in Automatic Speech Recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 22 (2014) 1, 184
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11
Language Modeling - Converting Neural Network Language Models into Back-off Language Models for Efficient Decoding in Automatic Speech Recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 22 (2014) 1, 184-192
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12
Observation of $Z$ production in proton-lead collisions at LHCb
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13
Measurement of the muon reconstruction performance of the ATLAS detector using 2011 and 2012 LHC proton-proton collision data.
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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14
Observation of $Z$ production in proton-lead collisions at LHCb
In: Symplectic Elements at Oxford ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; ArXiv (http://arxiv.org/) (2014)
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15
The evolution of teaching models on the basis of various new theories
Chen, S.; Sit, H.. - : The Commercial Press, 2014
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16
Large Vocabulary Continuous Recognition/Search - A New Prosody-Assisted Mandarin ASR System
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 20 (2012) 6, 1669-1684
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17
Prosodic focus with and without post-focus compression (PFC): A typological divide within the same language family? .
In: The Linguistic Review , 29 131 - 147. (2012) (2012)
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18
Prosodic focus with post-focus compression: Single or Multiple Origin?
In: Presented at: The 2nd Symposium on Evolutionary Linguistics. (2010) (2010)
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19
MODALITY SPECIFIC CEREBRO-CEREBELLAR ACTIVATIONS IN VERBAL WORKING MEMORY: AN FMRI STUDY
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20
Deconstructing the theoretical concepts for training teachers of chinese as a second language
Chen, S.; Sit, H. W.. - : Beijing Yuyan Daxue, 2010
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