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So, we implemented the conceptualization and co-occurring terms enrichment technique in our work, for a given short text and presented a novel idea of including verb terms in text enrichment.
We used exact string matching to identify terms in text.
> In this article, we present our approach of finding IUPAC-like terms in text with CRF.
Terms in text that referred to an inflammatory arthritis diagnosis were added to the list created in stage one.
ENVIRONMENTS identifies ENVO terms in text using the same fast dictionary-based tagging engine as in Pafilis et al.
Therefore, we developed ENVIRONMENTS, a fast dictionary-based tagger capable of identifying Environment Ontology (ENVO) terms in text.
Similar(49)
(Jon Stewart — whose show Weiner evoked in mortifyingly graphic terms in texts with one woman — at least got some material out of it).
It is clear that, the noise term in (text {Toep}left (left { mathcal {R}^{epsilon }(k) right }_{k0}^{K}right)), given noisy spatiotemporal sensor measurements becomes colored due to the weighted sum.
Finding chemical terms in free text is essential for text mining aimed at exploring how chemical structures link to biological processes [1].
The first step in getting useful data out of free text involves identifying key terms in the text.
Interval tree can be viewed as a tool of higher terms proximity in text visualization.
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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