Results 171 to 180 of about 316,892 (282)
Using Medical Named Entity Recognition in Automatic ICD Prediction. [PDF]
Kawas M +5 more
europepmc +1 more source
Abstract The integration of generative artificial intelligence (generative AI) in higher education is reshaping student engagement, yet its impact on postgraduate international students remains underexplored. This study examines how generative AI shapes postgraduate international students' engagement through a psychological needs perspective.
Olatunji David Adekoya +4 more
wiley +1 more source
UnionPromptNER serves as a union prompting method to bridge few-shot named entity recognition. [PDF]
Tian W, Xu S, Wang Y, Li H, Zhu H.
europepmc +1 more source
Abstract As England embarks on its first comprehensive curriculum review in fifteen years, this paper offers critical insights from schools that sustained arts‐rich provision despite a policy landscape hostile to creative subjects. Drawing on data from the Researching Arts‐rich Primary Schools (RAPS) project—a mixed‐methods study of 76 arts‐rich ...
Pat Thomson, Christine Hall
wiley +1 more source
LegNER: a domain-adapted transformer for legal named entity recognition and text anonymization. [PDF]
Karamitsos I +3 more
europepmc +1 more source
Named entity recognition: adapting to microblogging [PDF]
Locke, Brian William
core +2 more sources
Abstract This article examines how national education in Hong Kong functions as a contested arena in which state and non‐state actors struggle over the meaning of citizenship, identity and schooling. Using inductive frame analysis of 319 news articles (2020–2025) from five Chinese‐ and English‐language outlets, it identifies diagnostic, prognostic and ...
Jason Cong Lin
wiley +1 more source
A boundary enhanced multi-task neural attention approach for Chinese named entity recognition. [PDF]
Pan J, Xiao M, Li M, Hu F.
europepmc +1 more source
Abstract Situating the study within an ecological perspective on language education, this article examines how secondary schools in England present Modern Languages (MLs) on official school websites. Focusing on 44 schools in Local Authorities with the lowest percentage average entry for the Languages pillar of the EBacc, we built a text database ...
Zhu Hua, Yunpeng Du, Elin Arfon
wiley +1 more source
Flat-Lattice-CNN: A model for Chinese medical-named-entity recognition. [PDF]
Wang S, Zhang K, Liu A.
europepmc +1 more source

