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A Survey on Computational Metaphor Processing

Authors:

Shampa ChakravertyAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 53, Issue 2

Article No.: 24, Pages 1 - 37

https://doi.org/10.1145/3373265

Published: 20 March 2020 Publication History

Abstract

In the last decade, the problem of computational metaphor processing has garnered immense attention from the domains of computational linguistics and cognition. A wide panorama of approaches, ranging from a hand-coded rule system to deep learning techniques, have been proposed to automate different aspects of metaphor processing. In this article, we systematically examine the major theoretical views on metaphor and present their classification. We discuss the existing literature to provide a concise yet representative picture of computational metaphor processing. We conclude the article with possible research directions.

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Acharya SDas BSudarshan T(2024)Capturing the Concept Projection in Metaphorical Memes for Downstream Learning TasksIEEE Access10.1109/ACCESS.2023.334798812(1250-1265)Online publication date: 2024
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Puraivan ERenau IRiquelme N(2024)Metaphor Identification and Interpretation in Corpora with ChatGPTSN Computer Science10.1007/s42979-024-03331-05:8Online publication date: 18-Oct-2024
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Index Terms

A Survey on Computational Metaphor Processing
1. Computing methodologies
  1. Artificial intelligence
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 53, Issue 2

March 2021

848 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3388460

Editor:
Albert Zomaya
University of Sydney, Australia

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Publication History

Published: 20 March 2020

Accepted: 01 November 2019

Revised: 01 June 2019

Received: 01 November 2018

Published in CSUR Volume 53, Issue 2

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Cited By

Reinöhl UEllison T(2024)Metaphor forces argument overtnessLinguistics10.1515/ling-2021-007262:4(795-847)Online publication date: 27-Feb-2024
https://doi.org/10.1515/ling-2021-0072
Acharya SDas BSudarshan T(2024)Capturing the Concept Projection in Metaphorical Memes for Downstream Learning TasksIEEE Access10.1109/ACCESS.2023.334798812(1250-1265)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2023.3347988
Puraivan ERenau IRiquelme N(2024)Metaphor Identification and Interpretation in Corpora with ChatGPTSN Computer Science10.1007/s42979-024-03331-05:8Online publication date: 18-Oct-2024
https://dl.acm.org/doi/10.1007/s42979-024-03331-0
Li RZhao YWang ZSu XGuo SGuan YHan XZhao H(2024)A Comprehensive Overview of CFN From a Commonsense PerspectiveMachine Intelligence Research10.1007/s11633-023-1450-821:2(239-256)Online publication date: 12-Jan-2024
https://doi.org/10.1007/s11633-023-1450-8
Brglez MZayed OBuitelaar P(2024)TCMeta: a multilingual dataset of COVID tweets for relation-level metaphor analysisLanguage Resources and Evaluation10.1007/s10579-024-09725-zOnline publication date: 30-Mar-2024
https://doi.org/10.1007/s10579-024-09725-z
Kamble VHaribhakta Y(2024)Bridging the Gap: Condensing Knowledge Graphs for Metaphor Processing by Visualizing Relationships in Figurative and Literal ExpressionsMachine Learning, Image Processing, Network Security and Data Sciences10.1007/978-3-031-62217-5_28(339-351)Online publication date: 11-Jun-2024
https://doi.org/10.1007/978-3-031-62217-5_28
Luporini A(2023)Metaphors of art in the English translations of Giorgio Vasari’s Le vite: a software-assisted enquiryNuove strategie per la traduzione del lessico artistico10.36253/979-12-215-0061-5.06(65-94)Online publication date: 2023
https://doi.org/10.36253/979-12-215-0061-5.06
Akula ADriscoll BNarayana PChangpinyo SJia ZDamle SPruthi GBasu SGuibas LFreeman WLi YJampani V(2023)MetaCLUE: Towards Comprehensive Visual Metaphors Research2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.02222(23201-23211)Online publication date: Jun-2023
https://doi.org/10.1109/CVPR52729.2023.02222
Peng ZKhatin-Zadeh O(2023)Research on metaphor processing during the past five decades: a bibliometric analysisHumanities and Social Sciences Communications10.1057/s41599-023-02465-510:1Online publication date: 9-Dec-2023
https://doi.org/10.1057/s41599-023-02465-5
Wan MSu QAhrens KHuang C(2023)Perceptional and actional enrichment for metaphor detection with sensorimotor normsNatural Language Engineering10.1017/S135132492300044X(1-29)Online publication date: 20-Sep-2023
https://doi.org/10.1017/S135132492300044X
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