Learning to Rank for Information Retrieval and Natural Language Processing
https://doi.org/10.2200/s00348ed1v01y201104hlt012
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https://doi.org/10.2200/s00348ed1v01y201104hlt012
The study of the way native human dialects and computer systems interact is known as natural language processing.Cognitive languages require the use of NLP, which has connections to artificial intelligence and computer engineering.In artifi...
https://doi.org/10.46632/rmc/1/1/014
AI, as discussed in Chapter 1, refers to computers behaving intelligently like humans. One aspect of human intelligence is the capability of understanding and speaking languages. The subfield of AI that focuses on making computers seemingly...
https://doi.org/10.1007/978-1-4842-7419-4_6
https://doi.org/10.1007/978-3-031-02165-7
Understanding and processing human language has always been a complicated task in computational theory. Natural language processing, a combination of artificial intelligence and computational linguistics, employs computational techniques to...
https://doi.org/10.1201/9781003082033-19
Making computers automatically extract latent scientific knowledge from literature is highly desired for future materials and chemical research in the artificial intelligence era. Herein, the natural language processing (NLP)‐based machine ...
10.1002/aisy.202300678
Natural sleep provides a powerful model system for studying the neuronal correlates of awareness and state changes in the human brain. To quantitatively map the nature of sleep-induced modulations in sensory responses we presented participa...
10.1371/journal.pone.0157143
10.1016/j.xpro.2026.104914
PMC: PMC13735240
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
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
This study examines the labor market of the Khanty-Mansi Autonomous Okrug–Yugra. The relevance of the research stems from the region’s strong dependence on natural resource reserves and production volumes, driven by the dominance of the min...
10.37614/2220-802X.4.2025.90.004
Deep learning refers to machine learning technologies for learning and utilizing ‘deep’ artificial neural networks, such as deep neural networks (DNN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Recently, deep ...
https://doi.org/10.1093/nsr/nwx110
Abstract As a relatively young field of research and development that began with work on crypt‐analysis and machine translation around 50 years ago, natural language processing (NLP) is concerned with the automated processing of human langu...
https://doi.org/10.1002/9781405198431.wbeal0858
ABSTRACT: Language is way of communicating your words Language helps in understanding the world,we get a better insight of the world. Language helps speakers to be as vague or as precise as they like. NLP Stands for natural language process...
https://doi.org/10.1075/nlp
Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology repo...
https://doi.org/10.1148/radiol.16142770
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural ...
https://doi.org/10.1109/rbme.2022.3210270
https://doi.org/10.1007/978-3-031-02139-8
Natural language processing (NLP) is the study of mathematical and computational modeling of various aspects of language and the development of a wide range of systems. These include spoken language systems that integrate speech and natural...
https://doi.org/10.1126/science.253.5025.1242
The parliament, as a key component of the public sphere, is both a reflection of and a stage for the post-democratic transition. Our study examines Hungarian parliamentary discourse as an indicator of a transition in which democratic instit...
10.1016/j.ssaho.2026.103122
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to...
https://doi.org/10.1145/3444689