Results 231 to 240 of about 2,584,993 (291)

Named Entity Recognition for Chinese Cancer Electronic Health Records-Development and Evaluation of a Domain-Specific BERT Model: Quantitative Study. [PDF]

JMIR Med Inform
Chen J, Zhao B, Tian X, Zou Z, Wang R, Wu J, Du S, Guo F.   +7 more
europepmc   +1 more source

Dissecting the dissection laboratory: Elements for designing a human anatomy laboratory

Anatomical Sciences Education, EarlyView.
Abstract The human anatomy dissection laboratory is a critical component of anatomical and medical education. Development, maintenance, and stocking of these laboratory spaces have unique demands, with all of the challenges in running a laboratory with Biosafety Laboratory Level 2 (BSL‐2) classification, housing a large volume of tissues saturated with
Rhiannon E. Robinson, Abbey Breckling, Danielle N. Edwards, Nicole Geske, Burhan Gharaibeh, Bobbie J. Leeper, Molly Ostwald, Mary Schilling, Bridgett Severt, Kelsey Stevens, J. P. Swigart, Jonathan J. Wisco, Melissa Zolnierz, Jeremy J. Grachan   +13 more
wiley   +1 more source

Artificial intelligence in healthcare text processing: a review applied to named entity recognition. [PDF]

Front Artif Intell
de Almeida SS, Silva Fontes R, Pareja Credidio Freire Alves L, Júnior MC, José Pinheiro Caldeira Silva G, Ramalho Cortez L, de Morais AHF, Medeiros Machado G, Gonçalo Oliveira H, Cunha-Oliveira A, Dos Santos JPQ, de Medeiros Valentim RA.   +11 more
europepmc   +1 more source

Associating cognitive abilities with naturalistic search behavior

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 665-685, April 2025.
Abstract Differences in cognitive abilities affect search behaviors, but this has mostly been observed in laboratory experiments. There is limited research on how users search for information in real‐world, naturalistic settings and how real‐world search behaviors relate to cognitive abilities.
Tung Vuong, Pritom Kumar Das, Tuukka Ruotsalo   +2 more
wiley   +1 more source

Gold standard, multi-genre dataset for named entity recognition and linking. [PDF]

Sci Data
Olewniczak S, Szymański J.
europepmc   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Leveraging Large Language Models for Adverse Drug Event Detection: A Comparative Study of Token and Span-Based Named Entity Recognition. [PDF]

Pac Symp Biocomput
Prioleau H, Aryal SK, Blackstone J.
europepmc   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset. [PDF]

Pac Symp Biocomput
Dey SK, Powell JM, Ismail A, Perrone J, Sarker A.   +4 more
europepmc   +1 more source

Critical questions for documenting collections as data: Provocations from developing datasheets for web archives datasets

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley   +1 more source