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Addressing racial/ethnic inequities in vaccine hesitancy and uptake: lessons learned from the California alliance against COVID-19.
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Comparison of auto-contouring and hand-contouring of ultrasound images of the tongue surface ...
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Comparison of auto-contouring and hand-contouring of ultrasound images of the tongue surface ...
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The Effect of Clear Speech on Cantonese Alaryngeal Speakers’ Intelligibility
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In: Folia Phoniatr Logop (2022)
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Addressing racial/ethnic inequities in vaccine hesitancy and uptake: lessons learned from the California alliance against COVID-19
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In: J Behav Med (2022)
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Cross-Cultural Instrument Adaptation and Validation of Health Beliefs About Cancer Screening: A Methodological Systematic Review.
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Incorporating the Breast Imaging Reporting and Data System Lexicon with a Fully Convolutional Network for Malignancy Detection on Breast Ultrasound
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In: Diagnostics; Volume 12; Issue 1; Pages: 66 (2021)
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A cross-disease meta-GWAS identifies four new susceptibility loci shared between systemic sclerosis and Crohn’s disease
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Genetic landscape of Gullah African Americans
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In: Am J Phys Anthropol (2021)
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FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation ...
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Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity ...
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A cross-disease meta-GWAS identifies four new susceptibility loci shared between systemic sclerosis and Crohn’s disease ...
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Detecting Media Bias in News Articles using Gaussian Bias Distributions ...
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Abstract:
Media plays an important role in shaping public opinion. Biased media can influence people in undesirable directions and hence should be unmasked as such. We observe that featurebased and neural text classification approaches which rely only on the distribution of low-level lexical information fail to detect media bias. This weakness becomes most noticeable for articles on new events, where words appear in new contexts and hence their "bias predictiveness" is unclear. In this paper, we therefore study how second-order information about biased statements in an article helps to improve detection effectiveness. In particular, we utilize the probability distributions of the frequency, positions, and sequential order of lexical and informational sentence-level bias in a Gaussian Mixture Model. On an existing media bias dataset, we find that the frequency and positions of biased statements strongly impact article-level bias, whereas their exact sequential order is secondary. Using a standard model for ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2010.10649 https://dx.doi.org/10.48550/arxiv.2010.10649
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Detecting Media Bias in News Articles using Gaussian Bias Distributions ...
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Brief mindfulness-based intervention of ‘STOP (Stop, Take a Breath, Observe, Proceed) touching your face’: a study protocol of a randomised controlled trial
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In: BMJ Open (2020)
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Variability of Electrolaryngeal Speech Intelligibility in Multitalker Babble
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In: Am J Speech Lang Pathol (2020)
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Additional file 1: of Epidemiological survey of echinococcosis in Tibet Autonomous Region of China ...
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Additional file 1: of Epidemiological survey of echinococcosis in Tibet Autonomous Region of China ...
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Additional file 1: of Is tuberculosis patients management improved in the integrated TB control model in West China? A survey in Guizhou Province, China ...
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Additional file 1: of Is tuberculosis patients management improved in the integrated TB control model in West China? A survey in Guizhou Province, China ...
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