Browsing by Subject "word embeddings"
Now showing items 1-2 of 2
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Comparing high dimensional word embeddings trained on medical text to bag-of-words for predicting medical codes
(Springer, 2020)Word embeddings are a useful tool for extracting knowledge from the free-form text contained in electronic health records, but it has become commonplace to train such word embeddings on data that do not accurately reflect ... -
Hybrid Hashtags: #YouKnowYoureAKiwiWhen Your Tweet Contains Māori and English
Twitter constitutes a rich resource for investigating language contact phenomena. In this paper, we report findings from the analysis of a large-scale diachronic corpus of over one million tweets, containing loanwords from ...
