Intuition is a method of knowing where individuals rely on their instincts, emotions, and gut feelings to guide their understanding rather than examining objective facts or applying rational logic. It involves accepting a belief as true simply because it inherently feels right or because someone's behavior intuitively seems unusual, prompting the need to critically evaluate whether such subjective knowledge should be fully trusted.

Intuition

This paper proposes metrics to evaluate the quality of automatically generated metaphors not restricted to similes. The metrics are metaphoricity, novelty, comprehensibility, and overall evaluation.

University of Michigan - Ann Arbor

The comprehension of metaphors involves the ability to activate a broader, more flexible set of semantic associations in order to integrate the meanings of the weakly related parts of the metaphor into a meaningful linguistic expression.

Metaphor comprehension

Right hemisphere is thought to be able to comprehend words with multiple meanings and takes on the critical role for at least one important component of metaphor processing. Metaphors presented to the left visual field/right hemisphere are comprehended more accurate and faster than metaphor words presented to the right visual field/left hemisphere. This finding is consistent with both familiar and novel metaphors processing. 

Hemispheric differences

Guided by conceptual metaphor theory, this paper proposes to control the generation process by encoding conceptual mappings between cognitive domains to generate meaningful metaphoric expressions.

Metaphor Generation with Conceptual Mappings

Metaphorical structure is often easier to expose by starting from source-domain language rather than from target-domain lexemes. Many target domains cannot be thoroughly investigated by searching a corpus for collocates of target lexemes, because not all target language occurs near source-domain triggers. How readily metaphorical structure can be exposed therefore depends on the relationship between source-domain language and the structural character of the target domain. Instead of relying on pre-specified semantic fields, corpus collocation patterns are used to gather candidate metaphor triggers.

Finding metaphorical triggers through source (not target) domain lexicalization patterns

Three general categories of hypotheses have been proposed to explain the underlying cognitive mechanisms of metaphor comprehension:

1. The serial/hierarchical model
2. The parallel/direct processing model
3. The context-dependent model

Hypotheses of underlying cognitive mechanisms of metaphor comprehension

Literal-to-metaphorical paraphrase generation masks a token in a literal sentence and uses a metaphor-focused language model to replace it with language intended to make the sentence metaphorical. The replacement can involve verbs, nouns, or adjectives rather than being limited to verbs.

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