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Also the start nodes describing a topic in the Phrase Reinforcement Learning in learning of topic description as has been described in [145].
Go to totovoto.com Search for an entry describing a topic of interest.
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One of the functions of controlled vocabulary is to select from what may be a large group of synonyms the one term that most accurately describes a topic.
For many historians, 'the Scientific Revolution' now describes a topic area rather than a clearly demarcated event.
A topic has been represented with many sub-topics and as the granularity of an event is too small to describe a topic, and a less granular event has been used to describe only a sub-topic in [73].
All of these systems use a map to display the geographical distribution of messages, (or of users) in order to describe a topic or event.
Only those events are considered that have one or more of the necessary seed terms used to describe a topic of interest to the user.
When conducting literature searches, I like to simultaneously look backward and forward: If I find a paper that I think describes a topic particularly well, I look at both the papers it cites and the papers that cite it.
Only those events have been considered that have one or more of the necessary seed terms that have been used to describe a topic of interest to the user.
An 8-15 page topic description, describing a current topic in epistemology, and the state of the literature on that topic, complete with a list of the important works on that topic; plus a 7-10 paperpaper on that topic.
Such cluster of nodes may also represent drilled down sequence of sub-events describing a sub-topic or sub-goal node.
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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