Results 121 to 130 of about 4,916,142 (279)

Cumulative Testing for Learning Spoken Vocabulary

TESOL Quarterly, EarlyView.
Abstract Cumulative testing is known to improve vocabulary learning by integrating both new and previously introduced words in weekly quizzes. While evidence for its benefits is promising, prior research has primarily focused on the written mode of vocabulary, with target words studied, practiced, and tested in the visual mode only.
Ryo Maie, Takumi Uchihara
wiley   +1 more source

Skilled for Whom? Immigration Policy, Racial Capitalism, and the Reproduction of Inequality in Britain

The British Journal of Sociology, EarlyView.
ABSTRACT This paper examines the UK's 2025 Immigration White Paper as a critical site for understanding how immigration policy functions as an instrument of racial capitalism. Drawing on Critical Race Theory, the theory of social reproduction, and intersectionality, it interrogates how the state's construction of the ‘skilled migrant’ operates as a ...
Muhammad Abdul Aziz, Muhammad Umar, Deborah Hamer‐Acquaah   +2 more
wiley   +1 more source

A hybrid combination of CNN Attention with optimized random forest with grey wolf optimizer to discriminate between Arabic hateful, abusive tweets

Journal of King Saud University: Computer and Information Sciences
Arabic hateful speech recognition has long been a major area of focus in Natural Language Processing (NLP) research. In light of recent advancements in transformer models and deep learning, researchers are now turning to transfer learning techniques ...
Abeer Aljohani, Nawaf Alharbe, Rabia Emhamed Al Mamlook, Mashael M. Khayyat   +3 more
doaj   +1 more source

LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach

Journal of Forensic Sciences, EarlyView.
Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
wiley   +1 more source

Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model [PDF]

, 2015
Nghia The Pham, Germán Kruszewski, Angeliki Lazaridou, Marco Baroni   +3 more
openalex   +1 more source

Countering FIMI by Digital Authoritarianisms: Audience Architecture and Reverse Language Engineering

Global Policy, EarlyView.
ABSTRACT Foreign information manipulation and interference (FIMI) campaigns on social media are currently both more accessible and more impactful than the North Atlantic Treaty Organization's (NATO) or European Union's (EU), offering their opponents superiority and efficiency on those platforms.
Michelangelo Conoscenti
wiley   +1 more source

Examining the Impact of ESG News Sentiment on Corporate Performance: A Comprehensive Analysis by News Topic and Industry

Business Ethics, the Environment &Responsibility, EarlyView.
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, Soyoung Jun, Jong Woo Kim   +2 more
wiley   +1 more source

Supporting learner agency in collaborative writing with generative AI

British Journal of Educational Technology, EarlyView.
Abstract To support learner agency in LLM‐powered writing environments, this research introduces a new interface that integrates two key features: an Argument Outline and a Similarity Viewer. These features were designed to enhance intentionality in writing and self‐monitoring of reliance on AI‐generated suggestions.
Sujin Kim, Hyo‐Jeong So, Kyudong Park
wiley   +1 more source

Evaluation of large language models in generating and optimizing educational materials for neonatal home oxygen therapy

Frontiers in Artificial Intelligence
BackgroundNeonatal Home Oxygen Therapy (NHOT) is a critical treatment for premature infants with Bronchopulmonary Dysplasia (BPD). However, existing health education materials are generally difficult to read, particularly for grandparent caregivers with ...
Zhendong Liu, Xiaoping Yang, Yu Zhang, Yujing Xu, Yue Xiang, Hongyan Wang, Hongyan Wang   +6 more
doaj   +1 more source

Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study

JMIR Medical Informatics
BackgroundNamed entity recognition (NER) models are essential for extracting structured information from unstructured medical texts by identifying entities such as diseases, treatments, and conditions, enhancing clinical decision ...
Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu   +4 more
doaj   +1 more source