Results 91 to 100 of about 51,786 (296)

Neural Network Technologies in Natural Language Processing and Data Mining

open access: yesApplied Sciences
The rise of large language models (LLMs) has marked a significant leap in natural language processing (NLP) capabilities, enabling machines to understand, generate, and interact with human language at a sophisticated level [...]
Marija Brkić Bakarić, Maja Matetić
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Adversarial natural language processing: overview, challenges, and policy implications

open access: yesData & Policy
The emergence of large language models has significantly expanded the use of natural language processing (NLP), even as it has heightened exposure to adversarial threats.
Laxmi Shaw   +2 more
doaj   +1 more source

Are Deep Learning Approaches Suitable for Natural Language Processing? [PDF]

open access: yes, 2016
In recent years, Deep Learning (DL) techniques have gained much at-tention from Artificial Intelligence (AI) and Natural Language Processing (NLP) research communities because these approaches can often learn features from data without the need for human
Alshahrani, S.   +3 more
core   +1 more source

The Open‐Source Paradox: Africa's Digital Sovereignty and the Structural Limits of Artificial Intelligence Autonomy

open access: yesAI &Innovation, EarlyView.
ABSTRACT Open‐source artificial intelligence is widely promoted as a democratising pathway to digital sovereignty for African states, offering access to frontier architectures without prohibitive capital investment. This paper investigates whether open‐source AI represents a credible route to autonomy or generates a new form of structural dependency ...
Ololade A. Shonubi
wiley   +1 more source

Artificial Intelligence and Access to Justice at the ‘Shop Front’: The Potential and Limitations of Meeting Legal Need Through Technology

open access: yesAustralian Journal of Social Issues, EarlyView.
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings   +2 more
wiley   +1 more source

Techniques and Applications of Natural Language Processing

open access: yesApplied Sciences
Natural language processing (NLP) has undergone rapid and transformative progress in recent years, driven largely by advances in deep learning and the emergence of large language models (LLMs) [...]
Rajvardhan Patil, Venkat Gudivada
doaj   +1 more source

Selected Topics on Systems Modeling and Natural Language Processing: Editorial Introduction to the Issue 7 of CSIMQ

open access: yesComplex Systems Informatics and Modeling Quarterly, 2016
The seventh issue of Complex Systems Informatics and Modeling Quarterly presents five papers devoted to two distinct research topics: systems modeling and natural language processing (NLP).
Witold Andrzejewski, Selma Khouri
doaj   +1 more source

Inferring Rheumatoid Arthritis Disease Activity Status From the Electronic Health Records Across Health Systems

open access: yesArthritis &Rheumatology, EarlyView.
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHRs) data has limited the ability to generate real‐world evidence (RWE).
David Cheng   +34 more
wiley   +1 more source

Unsupervised Learning of Multiword Expressions [PDF]

open access: yes, 2010
Multiword expressions are expressions consisting of two or more words that correspond to some conventional way of saying things (Manning & Schutze 1999).
Korkontzelos, Ioannis   +1 more
core  

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