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Chinese Word Segmentation with Heterogeneous Graph Neural Network ...
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The Correlation Between Internet Addiction and Interpersonal Relationship Among Teenagers and College Students Based on Pearson's Correlation Coefficient: A Systematic Review and Meta-Analysis
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In: Front Psychiatry (2022)
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A Novel Interval-Valued q-Rung Dual Hesitant Linguistic Multi-Attribute Decision-Making Method Based on Linguistic Scale Functions and Power Hamy Mean
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In: Entropy (Basel) (2022)
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As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation ...
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Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning ...
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A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics ...
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Word Distance Affects Subjective Temporal Distance
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In: Front Psychol (2021)
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Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining
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In: Front Psychol (2021)
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Impaired Interhemispheric Synchrony in Bronchial Asthma
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In: Int J Gen Med (2021)
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Two Distinct Clinical Phenotypes of Bulbar Motor Impairment in Amyotrophic Lateral Sclerosis
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In: Front Neurol (2021)
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Multiple attribute group decision-making based on interval-valued q-rung orthopair uncertain linguistic power Muirhead mean operators and linguistic scale functions
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In: PLoS One (2021)
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A neurophysiological model of speech production deficits in fragile X syndrome.
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In: Brain communications, vol 2, iss 1 (2020)
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Archives of Control Sciences ... : A novel multiple attribute decision making method based on q-rung dual hesitant uncertain linguistic sets and Muirhead mean ...
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Measuring correlation-to-causation exaggeration in press releases ...
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Abstract:
Press releases have an increasingly strong influence on media coverage of health research; how- ever, they have been found to contain seriously exaggerated claims that can misinform the public and undermine public trust in science. In this study we propose an NLP approach to identify ex- aggerated causal claims made in health press releases that report on observational studies, which are designed to establish correlational findings, but are often exaggerated as causal. We devel- oped a new corpus and trained models that can identify causal claims in the main statements in a press release. By comparing the claims made in a press release with the corresponding claims in the original research paper, we found that 22% of press releases made exaggerated causal claims from correlational findings in observational studies. Furthermore, universities exagger- ated more often than journal publishers by a ratio of 1.5 to 1. Encouragingly, the exaggeration rate has slightly decreased over the past 10 years, despite the ...
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Keyword:
Computer and Information Science; Natural Language Processing; Neural Network
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URL: https://underline.io/lecture/6255-measuring-correlation-to-causation-exaggeration-in-press-releases https://dx.doi.org/10.48448/n311-h273
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Use of profession-role exchange in an interprofessional student team-based community health service-learning experience
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In: BMC Med Educ (2020)
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Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals
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A longitudinal study of infants' early speech production and later letter identification
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A neurophysiological model of speech production deficits in fragile X syndrome
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In: Brain Commun (2019)
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Archives of Control Sciences ... : Some q-rung orthopair linguistic Heronian mean operators with their application to multi-attribute group decision making ...
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