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Episodic memory demands modulate novel metaphor use during event narration
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
Abstract: Metaphor is an important part of everyday thought and language. Although we are often not aware of metaphor in everyday speech, on occasion, a particularly creative or novel use of metaphor will make us pay attention. It has been hypothesized that one of the driving cognitive factors behind the use of novel metaphor is a need to describe a new reality (as opposed to a preexisting reality) that would otherwise be difficult to convey using conventionalized metaphor. To this extent, novel metaphor use in everyday language may be more associated with episodic memory demands in contrast to conventional metaphor that is associated with semantic memory. To test this idea we analyzed novel metaphor use in the Hippocorpus --- a corpus of more than 5000 recalled and imagined stories about memorable life events in the first person perspective. In this dataset, recalled events have been shown to rely on episodic memory to a greater extent than descriptions of imagined events (i.e., narrating an event as if it happened to you but not describing an event that actually happened to you), which largely draw on semantic memory. We hypothesized that novel metaphor use during event narration should be modulated by the extent to which language users are able to draw on primary experience to describe events. We found that novel metaphor counts in recalled events were significantly higher than imagined events. Importantly, we found that factors that influence the extent to which language users are able to draw on primary experience during event narration (i.e., openness to experience, similarity to one's own experience, and how memorable or important an event was) modulated novel metaphor use in different ways in imagined compared to recalled events. The work paves the way for using large scale corpora to analyze underlying cognitive processes that modulate metaphorical language use.
Keyword: cognitive science
URL: https://escholarship.org/uc/item/2qx166t9
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2
Multilingual and cross-lingual document classification: A meta-learning approach ...
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3
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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5
Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models ...
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6
Joint Modelling of Emotion and Abusive Language Detection ...
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7
What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties ...
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8
SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment
Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2020
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9
Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension Using Distributional Semantic Models
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 231-246 (2020) (2020)
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10
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02425462 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (3), pp.559-601. ⟨10.1162/coli_a_00357⟩ ; https://www.mitpressjournals.org/doi/abs/10.1162/coli_a_00357 (2019)
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11
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. ...
Mu, Jesse; Yannakoudakis, Helen; Shutova, Ekaterina. - : Apollo - University of Cambridge Repository, 2019
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12
Abusive Language Detection with Graph Convolutional Networks ...
Mishra, Pushkar; Del Tredici, Marco; Yannakoudakis, Helen. - : Apollo - University of Cambridge Repository, 2019
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13
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings ...
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14
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification ...
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15
Abusive Language Detection with Graph Convolutional Networks ...
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16
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods ...
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17
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing ...
Ponti, Edoardo; O'Horan, Helen; Berzak, Yevgeni. - : Apollo - University of Cambridge Repository, 2019
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18
Author Profiling for Hate Speech Detection ...
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19
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.
Mu, Jesse; Yannakoudakis, Helen; Shutova, Ekaterina. - : In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics., 2019
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20
Abusive Language Detection with Graph Convolutional Networks
Mishra, Pushkar; Del Tredici, Marco; Yannakoudakis, Helen. - : Association for Computational Linguistics, 2019. : Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
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