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10,142 results
  • Big tobacco focuses on the facts to hide the truth: an algorithmic exploration of courtroom tropes and taboos. [Journal Article]
    Tob Control 2019Risi S, Proctor RN
  • CONCLUSIONS: Quantitative analysis can reveal heretofore hidden patterns in courtroom rhetoric, including the weaponisation of pronouns and the systematic avoidance of certain terms, such as 'profits' or 'customer.' While cigarette makers use words that focus on the individual smoker, attorneys for the plaintiffs refocus agency onto the industry. We show how even seemingly trivial parts of speech-like pronouns-along with references to family members or words like 'truth' and 'facts' have been weaponised for use in litigation.
  • Consistency and Variability in Children's Word Learning Across Languages. [Journal Article]
    Open Mind (Camb) 2019; 3:52-67Braginsky M, Yurovsky D, … Frank MC
  • Why do children learn some words earlier than others? The order in which words are acquired can provide clues about the mechanisms of word learning. In a large-scale corpus analysis, we use parent-report data from over 32,000 children to estimate the acquisition trajectories of around 400 words in each of 10 languages, predicting them on the basis of independently derived properties of the words'…
  • Spontaneous ovulation in cats-Uterine findings and correlations with animal weight and age. [Journal Article]
    Anim Reprod Sci 2019; 209:106167Binder C, Aurich C, … Aurich J
  • Cats are considered induced ovulating animals but ovulations occur in the absence of mating (i.e., spontaneous ovulations). Factors that stimulate such ovulations remain largely unknown. In this study, ovaries and uterine horn segments from 89 post-pubertal queens presented for ovariectomy were evaluated morphologically and histologically. It was hypothesized that corpora lutea (CL) are present i…
  • BioBERT: a pre-trained biomedical language representation model for biomedical text mining. [Journal Article]
    Bioinformatics 2019Lee J, Yoon W, … Kang J
  • Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows. With the progress in natural language processing, extracting valuable information from biomedical literature has gained popularity among researchers, and deep learning has boosted the development of effective biomedical text mining models. However, directly applying the advancements in n…
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