Suchergebnisse - Computing methodologies Artificial intelligence Natural language processing Language resource

Human–machine interaction in building an English reference dataset for natural language processing tasks

Autoren: Bročić, Lucija Gašpar, Angelina Grubišić, Ani et al.

Quelle: Language Resources and Evaluation. 59:2781-2809

Schlagwörter: Artificial intelligence, Natural language processing, CCS concepts, Computing methodologies

Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s10579-025-09835-2.pdf
https://doi.org/10.1007/s10579-025-09835-2

Dataset creation and benchmarking for Kashmiri news snippet classification using fine-tuned transformer and LLM models in a low resource setting.

Autoren: Deyar, Deheem U Ramani, Anirud Gupta, Deepa et al.

Quelle: Scientific Reports. 11/19/2025, Vol. 15 Issue 1, p1-14. 14p.

Schlagwörter: *LOW-resource languages, *NATURAL language processing, *MACHINE learning, *LANGUAGE & languages, *CATEGORIZATION (Linguistics), *TRANSFORMER models, *ACQUISITION of data

Natural language processing in veterinary pathology: A review.

Autoren: Stimmer, Lev Kuiper, Raoul V. Polledo, Laura et al.

Quelle: Veterinary Pathology. Nov2025, Vol. 62 Issue 6, p829-848. 20p.

ARTIFICIAL INTELLIGENCE DRIVEN BUSINESS INTELLIGENCE FOR IMPROVING HEALTHCARE DECISION MAKING AND OPERATIONAL EFFICIENCY IN HOSPITAL.

Autoren: Rupakula, Tejaswi

Quelle: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 1, p599-620, 22p

Schlagwörter: ARTIFICIAL intelligence, NATURAL language processing, REAL-time computing, PATTERN recognition systems, FEDERATED learning

A survey on novel approach to semantic computing for domain specific multi-lingual man-machine interaction.

Autoren: Bohra, Anjali Barwar, Nemi Chand

Quelle: International Journal of Informatics & Communication Technology (IJ-ICT); Apr2025, Vol. 15 Issue 1, p1-10, 10p

Schlagwörter: NATURAL language processing, SEMANTIC computing, MACHINE translating, QUESTION answering systems, MACHINE learning

Special Issue on Advancements in Natural Language Processing, Semantic Networks, and Sentiment Analysis.

Autoren: García-Méndez, Silvia de Arriba-Pérez, Francisco Costa-Montenegro, Enrique

Quelle: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6476, 5p

Schlagwörter: NATURAL language processing, ARTIFICIAL neural networks, LOW-resource languages, LANGUAGE models, ARTIFICIAL intelligence, SUSTAINABLE tourism, DEEP learning, AFFECTIVE computing

Drawing on Uncertainty Methodologies of Neutrosophic Hypersoft Sets in Cognitive Computing-Driven Healthcare Systems.

Autoren: Mohamed, Mona Alaa, Nurhan

Quelle: Neutrosophic Systems with Applications; 2025, Vol. 25 Issue 9, p802-811, 10p

Schlagwörter: COGNITIVE computing, HEALTH care industry, SOFT sets, MULTIPLE criteria decision making, NATURAL language processing, DECISION making, ARTIFICIAL intelligence, FUZZY sets

The Accuracy of Artificial Intelligence in Processing Formal Javanese within Essay Texts: Strengths, Limitations, and Implications for Language Preservation.

Autoren: Pratama, Boy Shahran

Quelle: L'Geneus: The Journal Language Generations of Intellectual Society; Aug2025, Vol. 14 Issue 2, p78-86, 9p

Schlagwörter: ARTIFICIAL intelligence, NATURAL language processing, CULTURAL awareness, INTERDISCIPLINARY research, LANGUAGE & languages, LANGUAGE revival, LINGUISTIC politeness

Geografische Kategorien: INDONESIA

Intelligent Management of Resources for Smart Edge Computing in 5G Heterogeneous Networks Using Blockchain and Deep Learning.

Autoren: Quasim, Mohammad Tabrez Nisa, Khair Ul Husain, Mohammad Shahid et al.

Quelle: Computers, Materials & Continua; 2025, Vol. 84 Issue 1, p1169-1187, 19p

Schlagwörter: DEEP reinforcement learning, REINFORCEMENT learning, NATURAL language processing, MACHINE learning, ARTIFICIAL intelligence, EDGE computing

Machine Learning Meets Language Learning: The Transformative Potential of Artificial Intelligence in English Language Instruction.

Autoren: Praveena T. Anupama K.

Quelle: Human Research in Rehabilitation; Apr2025, Vol. 15 Issue 1, p133-144, 12p

Schlagwörter: NATURAL language processing, ARTIFICIAL intelligence, MACHINE learning, PROGRAMMING languages, TRANSFORMATIVE learning

AI-DRIVEN KNOWLEDGE MANAGEMENT IN MEDICAL INSURANCE DEPARTMENT: TOWARDS EFFICIENT SUPERVISION AND PAYMENT PROCESSING USING SCALABLE COMPUTING.

Autoren: JING ZHANG

Quelle: Scalable Computing: Practice & Experience; Jul2025, Vol. 26 Issue 4, p1591-1606, 16p

Schlagwörter: NATURAL language processing, HEALTH insurance, INSURANCE companies, ARTIFICIAL intelligence, DISTRIBUTED computing

Natural Language Processing in Low-Resource Language Contexts.

Autoren: ivasubramanian, R. S. Umamaheswari, T. S. Tilak Babu, S. B. G. et al.

Quelle: Frontiers in Health Informatics; 2024, Vol. 13 Issue 8, p1578-1584, 7p

Schlagwörter: LOW-resource languages, NATURAL language processing, INFORMATION storage & retrieval systems, COMPUTATIONAL linguistics, DATA augmentation

Large Language Models and 3D Vision for Intelligent Robotic Perception and Autonomy.

Autoren: Mehta, Vinit Sharma, Charu Thiyagarajan, Karthick

Quelle: Sensors (14248220); Oct2025, Vol. 25 Issue 20, p6394, 51p

Schlagwörter: LANGUAGE models, THREE-dimensional imaging, COGNITIVE robotics, CONTEXT-aware computing, NATURAL language processing, MULTISENSOR data fusion, ARTIFICIAL intelligence

Natural Language Processing as a Scalable Method for Evaluating Educational Text Personalization by LLMs.

Autoren: Huynh, Linh McNamara, Danielle S.

Quelle: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12128, 26p

Schlagwörter: NATURAL language processing, LANGUAGE models, DISCOURSE analysis, EVALUATION methodology, EDUCATIONAL literature, VARIATION in language, ARTIFICIAL intelligence

A new methodology for automatic creation of concept maps of Turkish texts.

Autoren: Bayrak, Merve Dal, Deniz

Quelle: Language Resources & Evaluation. Mar2025, Vol. 59 Issue 1, p219-256. 38p.

Schlagwörter: *NATURAL language processing, *CONCEPT mapping, *ARTIFICIAL intelligence, *HEURISTIC algorithms, *COMPUTER science

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers

Autoren: Xiaoyan Zhao Yang Deng Min Yang et al.

Quelle: ACM Computing Surveys. 56:1-39

Schlagwörter: FOS: Computer and information sciences, Databases and Information Systems, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Natural language processing, OS and Networks, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computation and Language (cs.CL), Computing methodologies, Neural networks

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2306.02051

Understanding Graduate School Through AI: A Scalable Approach to Thematic Coding.

Autoren: Shen, Miranda Wu, Jue Patt, Colette et al.

Quelle: International Journal of Qualitative Methods; 11/21/2025, Vol. 24, p1-14, 14p

Schlagwörter: ARTIFICIAL intelligence, QUALITATIVE research, PATTERN perception, LANGUAGE models, RESEARCH methodology, NATURAL language processing, GRADUATE education, DATA analysis

Bridging Algorithms And Intelligence: Ai Integration In Core Computer Science Solutions.

Autoren: Sadashiv, Bhimade Shamsundar Bansal, Rishab Suny, Jubayer et al.

Quelle: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p710-719, 10p

Schlagwörter: ARTIFICIAL intelligence, ALGORITHMS, DEEP learning, MACHINE learning, COMPUTER science, ADAPTIVE control systems, REINFORCEMENT learning, NATURAL language processing

Natural Language Processing RELIES on Linguistics.

Autoren: Opitz, Juri Wein, Shira Schneider, Nathan

Quelle: Computational Linguistics; Sep2025, Vol. 51 Issue 3, p1009-1032, 24p

Schlagwörter: NATURAL language processing, LINGUISTICS, GRAMMAR, COHESION (Linguistics), ARTIFICIAL intelligence, COGNITIVE linguistics, LANGUAGE models

Large Language Models for Construction Risk Classification: A Comparative Study.

Autoren: Erfani, Abdolmajid Khanjar, Hussein

Quelle: Buildings (2075-5309); Sep2025, Vol. 15 Issue 18, p3379, 18p

Schlagwörter: LANGUAGE models, RISK assessment, ARTIFICIAL intelligence, EVALUATION methodology, NATURAL language processing, RISK managers, CONTENT analysis