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Re-Representing Metaphor: Modeling Metaphor Perception Using Dynamically Contextual Distributional Semantics

Modeling metaphor perception using dynamically contextual distributional semantics
Authors: Stephen McGregor; Kat Agres; Karolina Rataj; Karolina Rataj; Matthew Purver; Geraint Wiggins; Geraint Wiggins;

Re-Representing Metaphor: Modeling Metaphor Perception Using Dynamically Contextual Distributional Semantics

Abstract

In this paper, we present a novel context-dependent approach to modeling word meaning, and apply it to the modeling of metaphor. In distributional semantic approaches, words are represented as points in a high dimensional space generated from co-occurrence statistics; the distances between points may then be used to quantifying semantic relationships. Contrary to other approaches which use static, global representations, our approach discovers contextualized representations by dynamically projecting low-dimensional subspaces; in these ad hoc spaces, words can be re-represented in an open-ended assortment of geometrical and conceptual configurations as appropriate for particular contexts. We hypothesize that this context-specific re-representation enables a more effective model of the semantics of metaphor than standard static approaches. We test this hypothesis on a dataset of English word dyads rated for degrees of metaphoricity, meaningfulness, and familiarity by human participants. We demonstrate that our model captures these ratings more effectively than a state-of-the-art static model, and does so via the amount of contextualizing work inherent in the re-representational process.

Countries
Belgium, Netherlands
Subjects by Vocabulary

Microsoft Academic Graph classification: Computational creativity Metaphor media_common.quotation_subject Space (commercial competition) Semantics computer.software_genre Perception media_common business.industry Distributional semantics Artificial intelligence Computational linguistics Psychology business computer Word (computer architecture) Natural language processing

Library of Congress Subject Headings: lcsh:BF1-990 lcsh:Psychology

Keywords

vector space models, metaphor, computational linguistics, computational creativity, Psychology, General Psychology, Original Research, conceptual models, distributional semantics

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
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42
54
gold
Funded by
EC| CONCRETE
Project
CONCRETE
Concept Creation Technology
  • Funder: European Commission (EC)
  • Project Code: 611733
  • Funding stream: FP7 | SP1 | ICT
,
CHIST-ERA| ATLANTIS
Project
ATLANTIS
ArTificial Language uNdersTanding In robotS
  • Funder: CHIST-ERA (CHIST-ERA)
  • Project Code: ATLANTIS
iis
,
EC| EMBEDDIA
Project
EMBEDDIA
Cross-Lingual Embeddings for Less-Represented Languages in European News Media
  • Funder: European Commission (EC)
  • Project Code: 825153
  • Funding stream: H2020 | RIA
Validated by funder | iis
,
UKRI| DTA - Queen Mary, University of London
Project
  • Funder: UK Research and Innovation (UKRI)
  • Project Code: EP/L50483X/1
  • Funding stream: EPSRC
iis
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