• Facets (new session)
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• Metadata
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  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Metaphor identification procedure     Goto   Sponge   NotDistinct   Permalink

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Metaphor identification procedure (MIP) is a method for identifying metaphorically used words in discourse. It can be used to recognize metaphors in spoken and written language. Mainly intended for scholars, it can be helpful in empirical research. The procedure aims to determine the relationship of a particular lexical unit in the discourse and recognize its use in a particular context as possibly metaphorical. Since many words can be considered metaphorical in different contexts, MIP requires a clear distinction between words that convey metaphorical meaning and those that do not, despite the fact that language generally differs in the degrees of metaphoricity.A group of scholars called Pragglejaz started the Pragglejaz procedure in 2007, and elaborated on a detailed method of identifyin