Handbook of Natural Language Processing
https://doi.org/10.1201/9780824746346
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https://doi.org/10.1201/9780824746346
The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only recently, however, have computers become powerful enough to permit the widescale application of this concept to real world problems in statisti...
https://doi.org/10.5555/234285.234289
https://doi.org/10.1016/0167-6423(90)90067-n
https://doi.org/10.1016/j.autcon.2022.104169
This chapter starts with several generic sections about natural language processing (NLP) datasets and big-picture concepts. It focuses on the core NLP concepts, and quick-and-dirty techniques to more complicated ones. The most basic concep...
https://doi.org/10.1002/9781119092919.ch16
The current generation of neural network-based natural language processing models excels at learning from large amounts of labelled data. Given these capabilities, natural language processing is increasingly applied to new tasks, new domain...
https://doi.org/10.13025/17598
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be bes...
https://doi.org/10.1561/2200000096
Discover the concepts of deep learning used for natural language processing (NLP) in this practical book, with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2...
https://doi.org/10.1007/978-1-4842-3685-7
10.1093/ismejo/wrag269
PMC: PMC13738216
10.1093/oncolo/oyag423
PMC: PMC13739285
10.1016/j.xpro.2026.104914
PMC: PMC13735240
10.3892/ijmm.2026.6029
PMC: PMC13735077
10.1371/journal.pntd.0014848
PMC: PMC13739230
Abstract With the rapid development of science and technology, augmented reality technology provides intelligent and application services. The research is based on imaging techniques using augmented reality technology and camera image captu...
10.1007/s44163-025-00399-2
Abstract Full-reference image quality assessment metrics such as PSNR and SSIM misalign with human perceptual judgments on texture and shape distortions, a limitation documented across multiple benchmarks. Deep perceptual metrics such as LP...
10.1007/s44163-026-02424-4
10.13092/lo.76.2811
Abstract This study presents a Data Fusion + Random Forest (RF) framework to predict adult learners’ educational outcomes, such as dropout risk and course completion. Adult lifelong learning is crucial for personal and professional growth, ...
10.1007/s44163-026-01962-1
Various areas of natural language processing (NLP) have greatly benefited from the development of large language models in recent years. This research addresses the challenge of developing efficient tokenizers for transformer-based domain-s...
10.3390/app15137491
Abstract Background Understanding the alignment and contributions of research to the United Nations Sustainable Development Goals (UN SDGs) is essential for guiding global progress toward these critical targets. Several SDG mapping approach...
10.1186/s13690-025-01784-0