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The concepts of textual relevance matching are useful for targeted advertising, typical examples of which include keyword-targeted (e.g., AdWords of Google) and content-targeted advertising (e.g., AdSense of Google).
We propose a new keyword-search algorithm that takes into account the semantic information extracted from the schemes of the structured and semi-structured data sources and combine it with the textual relevance obtained by a common text retrieval approach.
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TASE is able to extract both the explicit and implicit temporal expressions for Web pages, and calculate the relevant score between Web pages and each temporal expression, and re-rank search results based on the temporal-textual relevance between Web pages and queries.
If we focus on 'relevance', the textual metafunction creates relevance by adding prominence through assigning relative value to parts of the clause (Matthiessen 1992).
6. Relevance is relevant.
The textual metafunction functions to create "relevance to context" (Halliday and Matthiesen, 2014, p.85).
Similar to one of our previous studies [ 22], high-threat images seem to attract people's attention, but subsequent allocation processes are dependent on the self-relevance of the textual information with more attention for risk information among non-smokers and more attention for coping information (or more disengagement with risk information) among smokers.
They have been used previously to rank textual documents in order of decreasing relevance to a user-defined query.
However, little is known about what criteria users employ when making relevance judgments and which textual representations of the image help them make relevance judgments in their situational context.
Our interest has been spurred by work in information retrieval, where BINs have been used to rank textual documents in decreasing probability of relevance to a user-defined query statement.
For example, the textual meta-function is concerned with relevance and the creation of text and the main element of the clause is Theme, which is generally identified as the first element of the clause expressing experiential meaning.
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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