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At the "sentence" level, topics like sentence structure, subject/verb agreement, and clauses must be explored.
In our proposed model, structural cues encoded in a recurrent cortical network in BA47 activate a CSTC circuit to modulate the flow of lexical semantic information from BA45 to an integrated representation of meaning at the sentence level in BA44/6.
Afterward, the model uses sentence level tag information thanks to Conditional Random Field model.
Attaches a binarized tree of the sentence to the sentence level CoreMap.
On a sentence level, "Legend of a Suicide" is stunning.
On the sentence level, Lazar is drawn to non sequiturs.
document level, sentence level and word level.
As CRF works on the sentence level to identify the true labels of the words within each sentence, Apache openNLP[28] is used to detect sentence boundaries.
However, no comparably useful technology exists at the sentence level.
Sentiment analysis reuse the technologies semantic analysis and focus on three levels: word level, sentence level, and article level.
Table 2 summarizes the sentence level performance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com