Taming big data: Applying the experimental method to naturalistic data sets

Sagi, Eyal

doi:10.3758/s13428-018-1185-6

Cited by 4 publications

(5 citation statements)

References 32 publications

(33 reference statements)

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“…Our findings here also connect to prior work that has found that verbs change meaning at a greater rate over time than nouns do (Dubossarsky et al, 2016;Sagi, 2019). For example, Dubossarsky et al, (2016) compared rates of change for nouns, verbs, and adjectives from 1850 to 2000.…”

Section: Mutability and Meaning Change Over Timesupporting

confidence: 88%

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Verb Metaphoric Extension Under Semantic Strain

King¹,

Gentner²

2021

Preprint

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This paper explores the processes underlying verb metaphoric extension. Work on metaphor processing has largely focused on noun metaphor, despite evidence that verb metaphor is more common (e.g., Krennmayr, 2011). Across three experiments, we tested the hypothesis that verb metaphoric extensions arise when a verb-noun pairing results in semantic strain. Experiment 1 showed that verbs are more likely than nouns to alter their meaning under semantic strain (the verb mutability effect). Participants paraphrased simple intransitive sentences like The motor complained (sample paraphrase: The engine revved loudly). We developed a novel methodology of using word2vec to assess the degree of semantic change that occurred from initial sentence to paraphrase for both nouns and verbs. Experiment 2 demonstrated that the verb mutability effect was chiefly due to online meaning adjustments, rather than to differences in polysemy between nouns and verbs. In Experiment 3, we replicated the word2vec results with an assessment using human subjects. The results also showed that nouns and verbs change meaning in qualitatively different ways, with verbs more likely to change meaning metaphorically, and nouns more likely to change meaning taxonomically or metonymically. These findings bear on the origin and processing of verb metaphors and provide a link between online sentence processing and diachronic change over language evolution.

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Section: Mutability and Meaning Change Over Timesupporting

confidence: 88%

“…There is also indirect evidence for verb mutability from historical studies of language change over time (Dubossarsky, Weinshall, & Grossman, 2016;Sagi, 2019). For example, Dubossarsky et al, (2016) compared rates of change for nouns, verbs, and adjectives from 1850 to 2000.…”

Section: The Verb Mutability Effectmentioning

confidence: 99%

Verb Metaphoric Extension Under Semantic Strain

King¹,

Gentner²

2021

Preprint

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“…Our findings also connect to work on language evolution. There is evidence that verbs change their meanings at a greater rate over time than nouns do (Dubossarsky et al., 2016 ; Sagi, 2019 ). For example, Dubossarsky et al.…”

Section: Discussionmentioning

confidence: 99%

“…There is also indirect evidence for verb mutability from historical studies of language change over time (Dubossarsky, Weinshall, & Grossman, 2016 ; Sagi, 2019 ). Dubossarsky et al.…”

Section: Introductionmentioning

confidence: 99%

Verb Metaphoric Extension Under Semantic Strain

King¹,

Gentner²

2022

Cognitive Science

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This paper explores the processes underlying verb metaphoric extension. Work on metaphor processing has largely focused on noun metaphor, despite evidence that verb metaphor is more common. Across three experiments, we collected paraphrases of simple intransitive sentences varying in semantic strain-for example, The motor complained → The engine made strange noises-and assessed the degree of meaning change for the noun and the verb. We developed a novel methodology for this assessment using word2vec. In Experiments 1 and 2, we found that (a) under semantic strain, verb meanings were more likely to be adjusted than noun meanings; (b) the degree of verb meaning adjustment-but not noun meaning adjustment-increased with semantic strain; and (c) verb meaning extension is primarily driven by online adjustment, although sense selection also plays a role. In Experiment 3, we replicated the word2vec results with an assessment using human subjects. The results further showed that nouns and verbs change meaning in qualitatively different ways, with verbs more likely to change meaning metaphorically and nouns more likely to change meaning taxonomically or metonymically. These findings bear on the origin and processing of verb metaphors and provide a link between online sentence processing and diachronic change over language evolution.

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“…En el tiempo actual, la gran cantidad de datos disponibles (accesible gracias a un conjunto de plataformas) puede ser un valioso recurso para los investigadores en psicología, tomando en cuenta que eso permite la expansión de los estudios de laboratorio y métodos tradicionales de investigación a otros contextos de la interacción humana, sin perder poder estadístico e incluso mejorando su validez externa (Sagi, 2019).…”

Section: Introductionunclassified

Técnicas de Machine Learning utilizadas en estudios psicológicos con adolescentes: Una revisión sistemática

et al. 2022

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Durante la última década ha habido un crecimiento exponencial de modelos de inteligencia artificial aplicados a los distintos campos del conocimiento incluida la psicología. Diversos estudios han utilizado dichos modelos con el objetivo de identificar precozmente potenciales riesgos. Sin embargo, pocos estudios enfocados en adolescentes han utilizado dichas técnicas. La presente revisión sistemática utilizó los pasos sugeridos por el modelo Prisma para identificar estudios que aplicaron técnicas de Machine Learning para identificar rasgos comportamentales en adolescentes. Al aplicar los criterios de inclusión y exclusión fueron identificados 5 estudios en las bases de datos PsycNET, PubMed, Scopus, Scielo, Web of Science y Science Direct. Los principales resultados muestran que los algoritmos de Machine learning principalmente utilizados de forma individual o combinada fueron regresión logística (n=4) y Support Vector Machine SVM (n=3) además de otros como Adaboost (n=1) Nested ten-fold crossvalidation (n=1), Random Forest (n=1), Artificial Neural Network ANN (n=1) y Extreme gradient boosting XGB (n=1). Esta revisión resalta que la utilización de métodos de Machine learning proveen herramientas predictivas confiables tanto o más que los métodos estadísticos tradicionales. Por último, la presente revisión destaca la falta de estudios que utilicen dichas herramientas en el campo de la psicología principalmente en adolescentes.

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Taming big data: Applying the experimental method to naturalistic data sets

Cited by 4 publications

References 32 publications

Verb Metaphoric Extension Under Semantic Strain

Verb Metaphoric Extension Under Semantic Strain

Verb Metaphoric Extension Under Semantic Strain

Técnicas de Machine Learning utilizadas en estudios psicológicos con adolescentes: Una revisión sistemática

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