2022
ACL
ACL 2022
Deconstructing destruction: A Cognitive Linguistics perspective on a computational analysis of diachronic change
Abstract
AbstractIn this paper, we aim to introduce a Cognitive Linguistics perspective into a computational analysis of near-synonyms. We focus on a single set of Dutch near-synonyms, vernielen and vernietigen, roughly translated as ‘to destroy’, replicating the analysis from Geeraerts (1997) with distributional models. Our analysis, which tracks the meaning of both words in a corpus of 16th-20th century prose data, shows that both lexical items have undergone semantic change, led by differences in their prototypical semantic core.
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Interdisciplinary Bridge
— Artificial Intelligence and Interdisciplinary and Machine Learning
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Keyword Pioneer
— near-synonym analysis
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning
Authors
Topics
Machine Learning > Learning Types > Unsupervised Learning
Interdisciplinary > Linguistics > Computational Linguistics
Interdisciplinary > Linguistics > Semantics
Interdisciplinary > Cognitive Science > Cognitive Modeling
Machine Learning > Learning Types > Representation Learning
Artificial Intelligence > Core AI > Language
Artificial Intelligence > Core AI > Natural Language Processing