Results 81 to 90 of about 1,332,615 (213)

KCB-FLAT: Enhancing Chinese Named Entity Recognition with Syntactic Information and Boundary Smoothing Techniques

open access: yesMathematics
Named entity recognition (NER) is a fundamental task in Natural Language Processing (NLP). During the training process, NER models suffer from over-confidence, and especially for the Chinese NER task, it involves word segmentation and introduces ...
Zhenrong Deng   +3 more
doaj   +1 more source

You, Me, and the AI: The Role of Third‐Party Human Teammates for Trust Formation Toward AI Teammates

open access: yesJournal of Organizational Behavior, Volume 47, Issue 8, Page 1397-1422, October 2026.
ABSTRACT As artificial intelligence (AI) becomes increasingly integrated in teams, understanding the factors that drive trust formation between human and AI teammates becomes crucial. Yet, the emergent literature has overlooked the impact of third parties on human‐AI teaming.
Türkü Erengin   +2 more
wiley   +1 more source

Chinese Association of Greater Toledo newsletter, Summer, 2008

open access: yes, 2008
A newsletter published by the Chinese Association of Greater Toledo (CAGT). CAGT was founded in 1965 to support the Chinese community in and around Toledo, Ohio and uphold Chinese culture, language, and customs.
Chinese Association of Greater Toledo (Toledo, Ohio)
core  

A Study of Entity Relationship Extraction Algorithms Based on Symmetric Interaction between Data, Models, and Inference Algorithms

open access: yesApplied Sciences
The purpose of this paper is to address the extraction of entities and relationships from unstructured Chinese text, with a particular emphasis on the challenges of Named Entity Recognition (NER) and Relation Extraction (RE).
Ping Feng   +4 more
doaj   +1 more source

The Effect of Artificial Intelligence in Promoting Positive Nursing Practice Environments: Mixed Methods Systematic Review

open access: yesJournal of Clinical Nursing, Volume 35, Issue 10, Page 4066-4080, October 2026.
ABSTRACT Aim To synthesise the available evidence on the effect of artificial intelligence in promoting positive nursing practice environments, exploring outcomes for professionals, clients, and institutions. Background Artificial intelligence has undergone significant advancements and shows great potential to transform nursing practice.
Soraia Cristina de Abreu Pereira   +5 more
wiley   +1 more source

Chinese Association of Greater Toledo newsletter, Winter, 2009

open access: yes, 2009
A newsletter published by the Chinese Association of Greater Toledo (CAGT). CAGT was founded in 1965 to support the Chinese community in and around Toledo, Ohio and uphold Chinese culture, language, and customs.
Chinese Association of Greater Toledo (Toledo, Ohio)
core  

Enhanced Named Entity Recognition in Power Grid Operations: A Span-Based Approach for Chinese Dispatch Communications

open access: yesIEEE Access
Named Entity Recognition (NER) in power grid dispatch operations is critical for operational safety and system reliability. This domain faces unique challenges including domain-specific terminology, nested entity structures, and Chinese language ...
Yantong Zhang   +7 more
doaj   +1 more source

Chinese Association of Greater Toledo newsletter, Fall, 2009

open access: yes, 2009
A newsletter published by the Chinese Association of Greater Toledo (CAGT). CAGT was founded in 1965 to support the Chinese community in and around Toledo, Ohio and uphold Chinese culture, language, and customs.
Chinese Association of Greater Toledo (Toledo, Ohio)
core  

Chinese Association of Greater Toledo newsletter, Spring, 2010

open access: yes, 2010
A newsletter published by the Chinese Association of Greater Toledo (CAGT). CAGT was founded in 1965 to support the Chinese community in and around Toledo, Ohio and uphold Chinese culture, language, and customs.
Chinese Association of Greater Toledo (Toledo, Ohio)
core  

Named Entity Recognition Model Based on the Fusion of Word Vectors and Category Vectors

open access: yesIEEE Access
Named entity recognition (NER) in deep learning mode heavily relies on the processing and analysis of text vectors. This paper introduces an NER model based on deep learning techniques, emphasizing the fusion of word vectors and category vectors to ...
Yang Zhou   +3 more
doaj   +1 more source

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