https://hippo-inhibitor.com/in....dex.php/quantifying-
Particularly, the machine combines character embeddings to cope with out-of-vocabulary (OOV) terms, Long Short-Term Memory (LSTM) networks to model contextual representations and it also makes use of Conditional Random Fields (CRF) to classify each health entity as either negated or not because of the contextual heavy representation. Furthermore, we explored both embeddings created from words and embeddings produced from lemmas. Th
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