Results 21 to 30 of about 31,354 (250)

Enhancing African low-resource languages: Swahili data for language modelling

Data in Brief, 2020
Language modelling using neural networks requires adequate data to guarantee quality word representation which is important for natural language processing (NLP) tasks.
Casper S. Shikali, Refuoe Mokhosi
doaj   +1 more source

The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures

IEEE Access, 2021
In recent years, Natural Language Processing (NLP) models have achieved phenomenal success in linguistic and semantic tasks like text classification, machine translation, cognitive dialogue systems, information retrieval via Natural Language ...
Sushant Singh, Ausif Mahmood
doaj   +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

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

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

Natural Language Processing approach to NLP Meta model automation [PDF]

2018 International Joint Conference on Neural Networks (IJCNN), 2018
Neuro Linguistic Programming (NLP) is one of the most utilised approaches for personality development and Meta model is one of the most important techniques in this process. Usually, when one speaks about a problem or a situation, the words that one chooses will delete, distort or generalize portions of their experience.
Amirhosseini, Mohammad Hossein, Kazemian, Hassan, Ouazzane, Karim, Chandler, Chris   +3 more
openaire   +2 more sources

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

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +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