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However, these measures are usually limited to handling specific types of linguistic item, e.g., single word senses or entire sentences.
Material supposition is when a term stands for a linguistic item as such.
Following Jeffrey King (2002), we will use the term 'designate' as a catch-all covering any sort of semantic association between a linguistic item and an entity.
Task naturalness retains if the linguistic item naturally occurs as learners perform the tasks and task utility is when the linguistic element is used for effective task accomplishment.
The basic idea behind both accounts is that a linguistic item as used by some speaker is associated with certain semantic properties just in case the association between the linguistic item and the semantic property figures in the psychological processes through which the speaker assigns meanings (or truth-conditions) to sentences.
Treating a definition as a linguistic item, we can say that the definition specifies or picks out the essence (ousia) of the property, and a definitional statement predicates the essence of the property whose essence it is.
Similar(53)
Quantifying semantic similarity between linguistic items lies at the core of many applications in Natural Language Processing and Artificial Intelligence.
Our method first leverages the structural properties of a semantic network in order to model arbitrary linguistic items through a unified probabilistic representation, and then compares the linguistic items in terms of their representations.
Owing to the need for a deep understanding of linguistic items, semantic representation is considered to be one of the fundamental components of several applications in Natural Language Processing and Artificial Intelligence.
In the HRG formalism, atomic linguistic entities such as words, syllables and phones are represented by attribute value matrices known as linguistic items.
In this article we present a unified graph-based approach for measuring semantic similarity which enables effective comparison of linguistic items at multiple levels, from word senses to full texts.
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