Harm inflation: Making sense of concept creep

N Haslam, BC Dakin, F Fabiano… - European Review of …, 2020 - Taylor & Francis
ABSTRACT “Concept creep” is the gradual semantic expansion of harm-related concepts
such as bullying, mental disorder, prejudice, and trauma. This review presents a synopsis of …

Diachronic word embeddings reveal statistical laws of semantic change

WL Hamilton, J Leskovec, D Jurafsky - arXiv preprint arXiv:1605.09096, 2016 - arxiv.org
Understanding how words change their meanings over time is key to models of language
and cultural evolution, but historical data on meaning is scarce, making theories hard to …

Evolution of word meanings through metaphorical mapping: Systematicity over the past millennium

Y Xu, BC Malt, M Srinivasan - Cognitive psychology, 2017 - Elsevier
One way that languages are able to communicate a potentially infinite set of ideas through a
finite lexicon is by compressing emerging meanings into words, such that over time …

Why is semantic change asymmetric? The role of concreteness and word frequency and metaphor and metonymy

B Winter, M Srinivasan - Metaphor and Symbol, 2022 - Taylor & Francis
Metaphors and other tropes are commonly thought to reflect asymmetries in concreteness,
with concrete sources being used to talk about relatively more abstract targets. Similarly …

Cognitive influences in language evolution: Psycholinguistic predictors of loan word borrowing

P Monaghan, SG Roberts - Cognition, 2019 - Elsevier
Languages change due to social, cultural, and cognitive influences. In this paper, we
provide an assessment of these cognitive influences on diachronic change in the …

[PDF][PDF] Semantic changes in harm-related concepts in English

E Vylomova, N Haslam - Computational approaches to semantic …, 2021 - library.oapen.org
Recent years witnessed significant progressin many downstream tasks in natural language
processing (NLP) such as machine translation, part-of-speech tagging, language modelling …

What makes a good metaphor? A cross-cultural study of computer-generated metaphor appreciation

J Littlemore, PP Sobrino, D Houghton, J Shi… - Metaphor and …, 2018 - Taylor & Francis
Computers are now able to automatically generate metaphors, but some automatically
generated metaphors are more well received than others. In this article, we showed …

Modeling personal biases in language use by inducing personalized word embeddings

D Oba, N Yoshinaga, S Sato, S Akasaki… - Proceedings of the …, 2019 - aclanthology.org
There exist biases in individual's language use; the same word (eg, cool) is used for
expressing different meanings (eg, temperature range) or different words (eg, cloudy, hazy) …

Words with consistent diachronic usage patterns are learned earlier: A computational analysis using temporally aligned word embeddings

G Cassani, F Bianchi, M Marelli - Cognitive science, 2021 - Wiley Online Library
In this study, we use temporally aligned word embeddings and a large diachronic corpus of
English to quantify language change in a data‐driven, scalable way, which is grounded in …

Understanding the domain development through a word status observation model

T Zhang, R Sun, J Fensel, A Yu, Y Bu, J Xu - Journal of Informetrics, 2023 - Elsevier
For the accurate scientific evaluation and advancement of science, it is crucial to understand
the development state of a given disciplinary domain. Existing comprehension …