Metaphor-based meaning excavation

Neuman, Yair; Nave, Ophir

doi:10.1016/j.ins.2009.04.011

Cited by 16 publications

(3 citation statements)

References 37 publications

(41 reference statements)

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“…These results support the above interpretation. The associations of sweet are "grafted" to the "semiotic field" (Neuman & Nave, 2009) of sweetness and load this object with a high level of positive emotion and with words that extend its denotational source such as good and hope. Indeed, the abstract notion of hope is deeply rooted in our basic attachment with significant others and the expectation that love and life will be materialized through the interaction of nurturing us.…”

Section: Categorymentioning

confidence: 99%

How Language Enables Abstraction: A Study in Computational Cultural Psychology

Neuman

Turney

Cohen

2011

Integr. psych. behav.

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The idea that language mediates our thoughts and enables abstract cognition has been a key idea in socio-cultural psychology. However, it is not clear what mechanisms support this process of abstraction. Peirce argued that one mechanism by which language enables abstract thought is hypostatic abstraction, the process through which a predicate (e.g., dark) turns into an object (e.g., darkness). By using novel computational tools we tested Peirce's idea. Analysis of the data provides empirical support for Peirce's mechanism and evidence of the way the use of signs enables abstraction. These conclusions are supported by the in-depth analysis of two case studies concerning the abstraction of sweet and dark. The paper concludes by discussing the findings from a broad and integrative theoretical perspective and by pointing to computational cultural psychology as a promising perspective for addressing long-lasting questions of the field.

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Section: Categorymentioning

confidence: 99%

How Language Enables Abstraction: A Study in Computational Cultural Psychology

Neuman

Turney

Cohen

2011

Integr. psych. behav.

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“…Starting with Wilks (1978), the problem of metaphor has been approached as an identifica-tion task: first identify or detect metaphoric expressions and then (1) prevent them from interfering with computational treatments of literal expressions and (2) use them to gain additional insight about a text (e.g., Carbonell, 1980;Neuman & Nave, 2009). The identification or detection task has been approached as a binary classification problem: for a given unit of language (e.g., word, phrase, sentence) decide whether it is metaphoric or non-metaphoric.…”

Section: Introductionmentioning

confidence: 99%

Measuring metaphoricity

Dunn¹

2014

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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This paper presents the first computationally-derived scalar measurement of metaphoricity. Each input sentence is given a value between 0 and 1 which represents how metaphoric that sentence is. This measure achieves a correlation of 0.450 (Pearson's R, p <0.01) with an experimental measure of metaphoricity involving human participants. While far from perfect, this scalar measure of metaphoricity allows different thresholds for metaphoricity so that metaphor identification can be fitted for specific tasks and datasets. When reduced to a binary classification evaluation using the VU Amsterdam Metaphor Corpus, the system achieves an F-Measure of 0.608, slightly lower than the comparable binary classification system's 0.638 and competitive with existing approaches.

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“…The metaphor, as vast and clearly inconclusive scholarship on it illustrates [37][38][39][40][41][42][43][44][45][46][47][48][49][50], is an extremely complex phenomenon that linguistic semantics (and pragmatics) have been having a very hard time to explicate.…”

Section: Introductionmentioning

confidence: 99%

Computing with prepositions: Fuzzy semantics

Taylor

Raskin

Stuart

2013

2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)

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Following the Computing With Words, in its wider sense, this paper examines the treatment of prepositions with fuzzy logic. In particular, the paper looks at the treatment of two prepositions, in and on, from both the theoretical perspective and that of a text sample analysis. We have shown that the fuzzy analysis of prepositional meaning is helpful for its formal and computational representation, while skirting the thorny issue of the cognitivist metaphorization of abstract meanings of prepositions.

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Metaphor-based meaning excavation

Cited by 16 publications

References 37 publications

How Language Enables Abstraction: A Study in Computational Cultural Psychology

How Language Enables Abstraction: A Study in Computational Cultural Psychology

Measuring metaphoricity

Computing with prepositions: Fuzzy semantics

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