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Automatic processing of metaphor can be clearly divided into two subtasks: metaphor recognition (distinguishing between literal and metaphorical language in a text) and metaphor interpretation (identifying the intended literal meaning of a metaphorical expression). Both of them have been repeatedly addressed in NLP. This paper is the first comprehensive and systematic review of the existing com...

It has been claimed that human translators rely on some sort of literal translation equivalences to produce translations and to check their validity. More effort would be required if translations are less literal. However, to our knowledge, there is no established metric to measure and quantify this claim. This paper attempts to bridge this gap by introducing a metric for measuring literality o...

We challenge the commonly held view that the interpretation of metonymies should proceed from a literal-meaning-first approach and argue for an equally balanced treatment of literal and figurative language use. Resulting ambiguities are handled by a combination of two techniques. First, we incorporate discourse constraints into metonymy resolution, reflecting the systematic interaction patterns...