Results 181 to 190 of about 338,181 (337)
Nouns and Verbs in the Intact Brain: Evidence from Event-related Potentials and High-frequency Cortical Responses [PDF]
Friedemann Pulvermüller
openalex +1 more source
ABSTRACT This study examines the relationship between ESG news sentiment and corporate performance through the lens of stakeholder theory. While ESG ratings face significant limitations, including measurement inconsistencies and time lags, news sentiment analysis offers insights into internal and external stakeholder responses to ESG activities.
Jeong‐Ji Han +2 more
wiley +1 more source
The role of Universal Grammar and crosslinguistic influence in the interpretation of recursive set-subset adjectives in adult Romanian L1-English L2 bilinguals. [PDF]
Bleotu AC +3 more
europepmc +1 more source
Mitigating the seductive details effect by topic and irrelevance signals
Abstract Background Seductive details (interesting digressions in learning materials) are often integrated into learning units to make them more appealing to learners. However, studies indicate that this tends to overload students cognitively and impairs their learning performance. Aims The present study investigated whether these negative consequences
Lukas Wesenberg +4 more
wiley +1 more source
The Idiom Processing Advantage is Explained By Surprisal. [PDF]
Socolof M, O'Donnell TJ, Wagner M.
europepmc +1 more source
Abstract As use of artificial intelligence (AI) has increased, concerns about AI bias and discrimination have been growing. This paper discusses an application called PyrEval in which natural language processing (NLP) was used to automate assessment and provide feedback on middle school science writing without linguistic discrimination.
ChanMin Kim +5 more
wiley +1 more source
Gender stereotypes in agreement processing with role nouns: a study on Russian. [PDF]
Slioussar N, Antropova D.
europepmc +1 more source
Definiteness predictions for Japanese noun phrases [PDF]
Julia E. Heine
openalex +1 more source
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi +4 more
wiley +1 more source

