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Any organ of state will inevitably reject rules that are generated and enforced by all, and not a singular authority.
For the filtered-off n-grams the reject rules used are given as well.
To select term-like n-grams the sets of accept and reject rules are applied.
The retrieval routine is based on n-gram text analysis with sequential application of complex accept and reject rules.
The retrieval routine is based on n-gram textual analysis with a sequential execution of various 'accept and reject' rules with taking into account the morphological and structural information.
Conversely, I see it as our civil duties to reject rules when they are pointless and unfair.
Similar(53)
This paper presents a novel reject rule for dichotomizers, based on the Receiver Operating Characteristic curve.
But it has appeal for many who reject rule-consequentialism as a general approach.
Experiments performed with different classifier architectures on several data sets publicly available confirmed the effectiveness of the proposed reject rule.
Term-like: barium, phenanthrene, pentanol, xanes GeneralEnglishDictRule (reject rule) True, if a 1-gram is in the General English Dictionary (Table 1) Filtered: topography, paint, plateau, pool, searching, file, addenda, improvement, theme … Term-like: hydrocalcite, acetylacetone, cracking, ageing UnigramPOSRule (reject rule) True, if a 1-gram is not a noun or a gerund.
If an n-gram conforms to an accept or reject rule in the rule sequence, the procedure will be stopped with declaring the n-gram as either a non-term-like or a term-like phrase, probably having a special meaning (e.g. general chemistry scientific term or chemical entity).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com