Results 301 to 310 of about 2,639,905 (339)

A Study on Bias Detection and Classification in Natural Language Processing [PDF]

Ana Sofia Evans, Helena Moniz, Luísa Coheur   +2 more
openalex  

Applications of Natural Language Processing in the Domain of Mental Health

Ritwik Raj Saxena
openalex   +1 more source

Performance of Natural Language Processing for Information Extraction From Electronic Health Records Within Cancer: Systematic Review.

JMIR Med Inform
Dahl S, Bøgsted M, Sagi T, Vesteghem C.
europepmc   +1 more source

Identifying and Reducing Stigmatizing Language in Home Health Care With a Natural Language Processing-Based System (ENGAGE): Protocol for a Mixed Methods Study.

JMIR Res Protoc
Zhang Z, Gupta P, Potts-Thompson S, Prescott L, Morrison M, Sittig S, McDonald MV, Raymond C, Taylor JY, Topaz M.   +9 more
europepmc   +1 more source

Identifying Transportation Needs in Ophthalmology Clinic Notes Using Natural Language Processing: Retrospective, Cross-Sectional Study.

JMIR Med Inform
Wasser LM, Liang HW, Li C, Cassidy J, Tallapaneni P, Osterhoudt H, Wang Y, Williams AM.   +7 more
europepmc   +1 more source

Using Natural Language Processing to Track Negative Emotions in the Daily Lives of Adolescents

Fisher H, Jaffe N, Pidvirny K, Tierney A, Pizzagalli D, Webb C.   +5 more
europepmc   +1 more source

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Natural Language Processing (Almost) from Scratch

Journal of machine learning research, 2011
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity recognition, and semantic role labeling. This versatility is
R. Collobert, J. Weston, L. Bottou, Michael Karlen, K. Kavukcuoglu, Pavel P. Kuksa   +5 more
semanticscholar   +1 more source

Benchmarking large language models for biomedical natural language processing applications and recommendations

Nature Communications, 2023
The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While Large Language Models (LLMs) have shown promise in general domains, their
Qingyu Chen, Jingcheng Du, Yan Hu, V. Keloth, Xueqing Peng, Kalpana Raja, Rui Zhang, Zhiyong Lu, Huan Xu   +8 more
semanticscholar   +1 more source