Results 201 to 210 of about 379,251 (377)
Abstract Immigrants and refugees in the United States often face significant barriers in accessing social services, including mental health support, legal assistance, ESL or related education, housing, vocational training, workforce resources, transportation, and citizenship support. This article explores the strengths and challenges of community‐based
Rooshey Hasnain+7 more
wiley +1 more source
LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain [PDF]
Domain-specific Named Entity Recognition (NER), whose goal is to recognize domain-specific entities and their categories, provides an important support for constructing domain knowledge graphs. Currently, deep learning-based methods are widely used and effective in NER tasks, but due to the reliance on large-scale labeled data.
arxiv
An effective two-stage model for exploiting non-local dependencies in named entity recognition [PDF]
Vijay Krishnan, Christopher D. Manning
openalex +1 more source
Abstract The growing diversity of the U.S. population, partly due to immigration, has called attention to scholars and practitioners to attend to immigrants' cultural beliefs, values, and ways of doing when designing interventions to promote health and wellbeing.
Yolanda Suarez‐Balcazar+10 more
wiley +1 more source
Abstract Racism, as a covert but pervasive presence in teacher education in England, remains a major structural issue and its effects on student teachers who are Black and Asian are real and troubling. Their personal stories reveal multiple challenges and present empirical evidence that can usefully be analysed to examine their experience of daily ...
Diane Warner
wiley +1 more source
Preserving Empirical Probabilities in BERT for Small-sample Clinical Entity Recognition [PDF]
Named Entity Recognition (NER) encounters the challenge of unbalanced labels, where certain entity types are overrepresented while others are underrepresented in real-world datasets. This imbalance can lead to biased models that perform poorly on minority entity classes, impeding accurate and equitable entity recognition.
arxiv
Named entity recognition using an HMM-based chunk tagger
Guodong Zhou, Jian Su
openalex +1 more source
MMR-based active machine learning for bio named entity recognition [PDF]
Seokhwan Kim+4 more
openalex +1 more source
ABSTRACT With the recent publication of new classification systems of hematopoietic neoplasms, understanding how recognition of disease entities has occurred over time and the subsequent development of formal disease classifications is of importance. This review focuses on the early recognition of myeloid disorders, especially chronic myeloid disorders,
Daniel A. Arber, Attilio Orazi
wiley +1 more source
Politics of evidence: Think tanks and the Academies Act
Abstract Previous research has identified political ideology as central in the landmark Academies Act (2010). This article further analyses how politics of evidence played its part in the policy process by focusing on long‐term structural changes and preferences among policymakers. The article draws on policymaker interviews after the reform, a mapping
Jaakko Kauko
wiley +1 more source