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The paper explains this approach in more details and discusses some experiments on deriving ontology from natural text.
It can handle natural text input like Siri but also produces predictive alerts as shown in the advert below.
Certainly natural text language learning could easily find a place under the Bixby umbrella — even if it's something as simple as maintaining its current text-based functionality.
Similarly, the digital information with different structures, such as natural text, PDF, HTML and embedded systems data, is not simple enough to capture as entities and relationships [8].
Granger (1998) characterizes collocations as those words that co-occur in a natural text, following particular syntactic patterns (such as verb + noun, adjective + noun).
Notes, Wood writes, "are free-form natural text, read by other people, making this a very simple way to communicate any problems we notice about the map without needing to get to grips with OpenStreetMap and its tagging system".
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New commentaries also appeared alongside the ancient ones: practically all of the most prominent professors composed their own commentaries to the Aristotelian natural texts, in particular between the sixteenth and seventeenth centuries.
In the late 1980s, Mann and Thompson (1988) proposed a new interpretation of rhetorical structure theory (abbreviated RST) to describe natural texts, characterizing their structure primarily in terms of relations that hold between parts of the text.
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Database URL: http://bioc.sourceforge.net/ With the proliferation of natural language text, text mining has emerged as an important research area.
In this paper, we present a robust system to detect natural scene text according to text region appearances.
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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