A survey on computational metaphor processing

S Rai, S Chakraverty - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
In the last decade, the problem of computational metaphor processing has garnered
immense attention from the domains of computational linguistics and cognition. A wide …

Metaphor processing in autism: A systematic review and meta-analysis

K Morsanyi, D Stamenković, KJ Holyoak - Developmental Review, 2020 - Elsevier
Impairments related to figurative language understanding have been considered to be one
of the diagnostic and defining features of autism. Metaphor comprehension and production …

[图书][B] Cognitive psychology: A student's handbook

MW Eysenck, MT Keane - 2020 - taylorfrancis.com
The fully updated eighth edition of Cognitive Psychology: A Student's Handbook provides
comprehensive yet accessible coverage of all the key areas in the field ranging from visual …

[图书][B] Thought and knowledge: An introduction to critical thinking

DF Halpern - 2013 - taylorfrancis.com
This best-selling textbook, written by award-winning educator and past president of the
American Psychological Association, Diane F. Halpern, applies theory and research from …

The role of metaphor in communication and thought

PH Thibodeau, T Matlock… - … and Linguistics Compass, 2019 - Wiley Online Library
Metaphor is pervasive in everyday communication. It is known to help people understand
complex topics, communicate efficiently, and influence others. In this paper, we provide a …

The power of conceptual metaphors in the age of pandemic: The influence of the WAR and SPORT domains on emotions and thoughts

AD de Saint Preux, OM Blanco - Language & Communication, 2021 - Elsevier
Conceptual metaphors are used to conceptualise the world and are often employed in
political discourse and media to refer to important social issues, such as crises, political …

End-to-end sequential metaphor identification inspired by linguistic theories

R Mao, C Lin, F Guerin - Proceedings of the 57th annual meeting …, 2019 - aclanthology.org
End-to-end training with Deep Neural Networks (DNN) is a currently popular method for
metaphor identification. However, standard sequence tagging models do not explicitly take …

Teaching by analogy: From theory to practice

ME Gray, KJ Holyoak - Mind, Brain, and Education, 2021 - Wiley Online Library
Analogy is a powerful tool for fostering conceptual understanding and transfer in STEM and
other fields. Well‐constructed analogical comparisons focus attention on the causal …

Probabilistic analogical mapping with semantic relation networks.

H Lu, N Ichien, KJ Holyoak - Psychological review, 2022 - psycnet.apa.org
The human ability to flexibly reason using analogies with domain-general content depends
on mechanisms for identifying relations between concepts, and for mapping concepts and …

Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models

B Prystawski, P Thibodeau, C Potts… - arXiv preprint arXiv …, 2022 - arxiv.org
Probabilistic models of language understanding are valuable tools for investigating human
language use. However, they need to be hand-designed for a particular domain. In contrast …