Results 21 to 30 of about 29,099 (159)

Exploring the evolution and applications of natural language processing in education

Revista Română de Informatică și Automatică, 2023
Natural Language Processing (NLP) is a branch of computer science, artificial intelligence, information engineering, and linguistics that focuses on enabling machines to understand, interpret, and generate human language.
Ghania KHENSOUS, Kaouter LABED, Zohra LABED   +2 more
doaj   +1 more source

AI-Natural Language Processing (NLP)

International Journal for Research in Applied Science and Engineering Technology, 2021
Natural Language Processing (NLP) could be a branch of Artificial Intelligence (AI) that allows machines to know the human language. Its goal is to form systems that can make sense of text and automatically perform tasks like translation, spell check, or topic classification.
openaire   +1 more source

Natural Language Processing Enhanced Qualitative Methods: An Opportunity to Improve Health Outcomes

International Journal of Qualitative Methods, 2023
Background Electronic health systems contain large amounts of unstructured data (UD) which are often unanalyzed due to the time and costs involved. Unanalyzed data creates missed opportunities to improve health outcomes. Natural language processing (NLP)
R. David Parker, Karen Mancini, Marissa D. Abram   +2 more
doaj   +1 more source

Advancements and gaps in natural language processing and machine learning applications in healthcare: a comprehensive review of electronic medical records and medical imaging

Frontiers in Physics
This article presents a thorough examination of the progress and limitations in the application of Natural Language Processing (NLP) and Machine Learning (ML), particularly Deep Learning (DL), in the healthcare industry.
Priyanka Khalate, Shilpa Gite, Shilpa Gite, Biswajeet Pradhan, Chang-Wook Lee   +4 more
doaj   +1 more source

Predictive Performance Analysis of NLP-Based Knowledge Summarization in High Entropy Alloys (HEAs) Literature [PDF]

Journal of Soft Computing in Civil Engineering
The ability to understand spoken language is closely tied to natural language processing (NLP) in AI systems. NLP aims to teach machines how words are connected, used in context, and understood to mimic human cognition.
Akshansh Mishra, Vijaykumar Jatti, Vaishnavi More, Eyob Messele Sefene, Anish Dasgupta, Devarrishi Dixit   +5 more
doaj   +1 more source

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing

IEEE Access, 2022
Neural Architecture Search (NAS) is a promising and rapidly evolving research area. Training a large number of neural networks requires an exceptional amount of computational power, which makes NAS unreachable for those researchers who have limited or no
Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim Fedorov, Alexander Filippov, Evgeny Burnaev   +6 more
doaj   +1 more source

Analisis Keamanan Sistem Informasi ChatGPT Menggunakan Algoritma Natural Language Processing (NLP)

Jurnal Teknologi Informatika & Komputer, 2023
ChatGPT adalah model pembuatan bahasa alami yang dapat meningkatkan kognisi manusia dan menghasilkan teks berkualitas tinggi. Namun, keamanan sistem informasi di ChatGPT menjadi perhatian utama mengingat potensi penyalahgunaan oleh mereka yang belum ...
Donny Maulana, Eko Budiarto
doaj   +1 more source

Book review

Indonesian Journal of Applied Linguistics, 2011
Natural Language Processing (NLP) is a 'theoretically motivated range of computational techniques for analyzing and representing naturally occurring texts at one or more levels of linguistic analysis for the purpose of achieving human-like language ...
Ripan Hermawan
doaj   +1 more source

Adapting natural language processing for technical text

Applied AI Letters, 2021
Despite recent dramatic successes, natural language processing (NLP) is not ready to address a variety of real‐world problems. Its reliance on large standard corpora, a training and evaluation paradigm that favors the learning of shallow heuristics, and ...
Alden Dima, Sarah Lukens, Melinda Hodkiewicz, Thurston Sexton, Michael P. Brundage   +4 more
doaj   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source