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Semantic features refer to the semantic classification of word or phrase units.
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(13) The syntactic classification of words (primarily into verbs, nouns and others) is fairly strict.
Things that are said according to Aristotle, are words (De Int 16a3), and so it is natural to interpret his second system as a classification of words.
The extensible nature of the WikiHyperGlossary architecture allows for the classification of words into types by associating them with semantic type identifiers.
The syntactic classification of words is fairly strict; among the three major classes (verbs, nouns and others) there are constraints on transcategorising, as can be illustrated by some comparisons with English.
For this purpose Aristotle equips the orator with a classification of words (more or less the same classification can also be found in Poetics chapter 21): First of all Aristotle distinguishes between the kuria onamata, the standard expressions, and the glôtta, the borrowed words, idioms or vernacular expressions.
The objective is to optimize the scoring of residues for discrimination of a 'good' word match with a correct nearest neighbour classification from a 'bad' one that would imply a false classification of that word.
Valence judgment (or sentiment classification) of emotion words and emotion-laden words has been carried out in both lines of emotion studies, by psycholinguists and computer scientists, respectively.
A global feature set and two architectures of artificial neural networks (ANN) are evaluated for classification of the words.
Classification of selected words or phrases in sentential or broader contexts: As noted earlier, examples include WSD, named entity recognition, and sentence boundary detection.
It should be noted that Lee's model relies on an assumption that the classification of emotion words (by emotion type and intensity) can be transferred across languages via translation equivalents.
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