A Survey on Computational Metaphor Processing

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...

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Bibliographic Details
Published inACM computing surveys Vol. 53; no. 2; pp. 1 - 37
Main Authors Rai, Sunny, Chakraverty, Shampa
Format Journal Article
LanguageEnglish
Published New York, NY, USA ACM 31.03.2021
Association for Computing Machinery
Subjects
Artificial intelligence
Cognition
Computer science
Computing methodologies
Human computer interaction (HCI)
Human-centered computing
Interaction paradigms
Knowledge representation and reasoning
Linguistics
Machine learning
Natural language interfaces
Natural language processing
Philosophical/theoretical foundations of artificial intelligence
conceptual metaphor
metaphor detection
linguistic metaphor
metaphor processing
creative text
Metaphor
figurative language
metaphor interpretation
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ISSN0360-0300
1557-7341
DOI10.1145/3373265

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Summary: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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ISSN:0360-0300
1557-7341
DOI:10.1145/3373265