Results 271 to 280 of about 24,148,830 (341)

Sentiment Analysis of Autologous Breast Reconstruction Using Natural Language Processing and Deep Learning. [PDF]

Aesthet Surg J Open Forum
Wang MJ, Fijany AJ, Holan CA, Warikoo G, Martinez-Jorge J.   +4 more
europepmc   +1 more source

Application of a Natural Language Processing Framework for Data Extraction From Pathology Reports Across Multiple Cancer Types. [PDF]

J Korean Med Sci
Park P, Choi Y, Han N, Park S, Park YL, Hwang J, Choi KS, Yoo CW, Kim HJ.   +8 more
europepmc   +1 more source

Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors. [PDF]

PLoS One
Tabaie A, Tran AK, Parau C, Bennett SS, Kazi S, Smith K, Yosaitis J, Miller KE.   +7 more
europepmc   +1 more source

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Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

ACM Conference on Recommender Systems, 2022
For a long time, different recommendation tasks require designing task-specific architectures and training objectives. As a result, it is hard to transfer the knowledge and representations from one task to another, thus restricting the generalization ...
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang   +4 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

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

Language processing in bilinguals

Brain and Language, 1978
Abstract The present study investigated the language processing strategies of three subgroups of adult bilinguals with different histories of language acquisition: infant bilinguals whose bilinguality dated from infancy; childhood bilinguals who became bilingual around 5 years of age; and adolescent bilinguals who had become bilingual at secondary ...
F, Genesee, J, Hamers, W E, Lambert, L, Mononen, M, Seitz, R, Starck   +5 more
openaire   +2 more sources