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Patient representation learning and interpretable evaluation using clinical notes
We compare the model performance of the feature set constructed from a bag of words to that obtained from medical concepts.
Unsupervised patient representations from clinical notes with interpretable classification decisions
To understand and interpret the representations, we explore the best encoded features within the patient representations obtained from the autoencoder model.
The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language
Although in recent years numerous forms of Internet communication ― such as e-mail, blogs, chat rooms and social network environments ― have emerged, balanced corpora of Internet speech with trustworthy meta-information (e. g. age and gender) or linguistic annotations are still limited.
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