On the formalization of invariant mappings for metaphor interpretation

Agerri, Rodrigo; Barnden, John A.; Lee, Mark; Wallington, Alan M.

doi:10.3115/1557769.1557802

Cited by 3 publications

(5 citation statements)

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“…Examples like (26) show the need for a general account of image metaphor, wholly independently of emoji or pictorial semantics. Without getting into the details here, we'll assume such an independent account, say Lakoff's, or, more conveniently integrated within the kind of SDRT framework we're already using, Agerri, Barnden, Lee, and Wallington's (2007). Now, proponents of both the pictorial and the symbolic account could appeal to that account to explain 23.…”

Section: As Image Metaphormentioning

confidence: 99%

“…One might eventually exploit the formal machininery of SDRT to actually develop a unified framework for coherence-driven pragmatic enrichments, including metaphor and metonymy, but as far as I'm aware there is no such framework yet, and building one here would take us too far afield (since this framework would transcend emoji and pictorial discourse anyway). See Agerri et al (2007) for a step in this direction, viz. a formal, computational account of metaphoric mapping between SDRT representation.…”

Section: Varieties Of Figurative Meaning In Emoji Interpretationmentioning

confidence: 99%

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Emojis as Pictures

Maier

2023

Ergo an Open Access Journal of Philosophy

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I argue that emojis are essentially little pictures, rather than words, gestures, expressives, or diagrams. 🎁 means that the world looks like that, from some viewpoint. I flesh out a pictorial semantics in terms of geometric projection with abstraction and stylization. Since such a semantics delivers only very minimal contents I add an account of pragmatic enrichment, driven by coherence and non-literal interpretation. The apparent semantic distinction between emojis depicting entities (like 🚗) and those depicting facial expressions (like 😊) I analyze as a difference between truth-conditional and use-conditional pictorial content: 🚗 depicts what the world of evaluation looks like, while 😊 depicts what the utterance context looks like.

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Section: As Image Metaphormentioning

confidence: 99%

Section: Varieties Of Figurative Meaning In Emoji Interpretationmentioning

confidence: 99%

Emojis as Pictures

Maier

2023

Ergo an Open Access Journal of Philosophy

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“…Martin (1990, 2000) and Agerri (2007a, 2007b) are representative of structure‐based approaches. The basic idea of such approaches is to make use of invariant mappings of target and source in metaphors to interpret conventional metaphors.…”

Section: Related Workmentioning

confidence: 99%

“…Hence, recent statistical approaches have generally been limited in depth and extension as to metaphor recognition. Martin (1990Martin ( , 2000 and Agerri (2007aAgerri ( , 2007b are representative of structure-based approaches. The basic idea of such approaches is to make use of invariant mappings of target and source in metaphors to interpret conventional metaphors.…”

Section: Related Workmentioning

confidence: 99%

Metaphor Recognition: Chmeta, a Pattern‐based System

Zhou

Ding

et al. 2009

Computational Intelligence

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Metaphor recognition presents a computational challenge, in part due to metaphoric deviation from literal thinking, and also because of a metaphor's various linguistic expressions. This article forwards a new computational method, an integrated treatment of metaphor recognition from the computational perspective, which recent related studies have not entirely addressed. The authors differentiate metaphor recognition from complex metaphor inference and interpretation employing psychological clues. To accomplish this, we have developed a formalized system of metaphorical expression in metaphor role dependency schema, which specifically defines, classifies, and quantifies metaphorical anomalies, building a computable classification system for metaphors (incorporating 32 major patterns of metaphorical expressions) by providing a strategy to locate potential metaphorical anomalies in a target input sentence through a pattern recognition method and a metaphor components' tagging approach. This metaphor recognition and tagging system is named and implemented as "CHMeta." Experiment results support the validity and efficiency of this metaphor recognition system. Compared with most metaphor computation systems, which work mainly on a few examples, this system classifies major metaphorical expressions from a computational perspective and is able to recognize a variety of different kinds of metaphors, including nested ones. Thus, this is the first integrated work in computable classification, recognition, and tagging of large-scale metaphors in Chinese.

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“…This paper addresses these two issues: Firstly, it builds on Agerri et al (2007) to provide a formal set of invariant mappings that we call View-Neutral Mappings Adjuncts (VNMAs) for the interpretation of maptranscending metaphor. Secondly, it grounds the invariant mappings on a (modified) computationally-oriented formal semantic framework for the interpretation of metaphor in discourse (Kamp & Reyle, 1993;Asher & Lascarides, 2003).…”

Section: Introductionmentioning

confidence: 99%