Výsledky vyhledávání - Computing methodologies Artificial intelligence Natural language processing Lexical semantics~

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

Autoři: Bročić, Lucija Gašpar, Angelina Grubišić, Ani a další

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

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

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

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

Autoři: Bohra, Anjali Barwar, Nemi Chand

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

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

Natural language processing in veterinary pathology: A review.

Autoři: Stimmer, Lev Kuiper, Raoul V. Polledo, Laura a další

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

Ontological Representation of the Structure and Vocabulary of Modern Greek on the Protégé Platform.

Autoři: Samaridi, Nikoletta Papakitsos, Evangelos Karanikolas, Nikitas

Zdroj: Computation; Dec2024, Vol. 12 Issue 12, p249, 18p

Témata: NATURAL language processing, ARTIFICIAL intelligence, KNOWLEDGE representation (Information theory), ELECTRONIC dictionaries, SEMANTIC Web, COGNITIVE computing

Foundations of Livestock Behavioral Recognition: Ethogram Analysis of Behavioral Definitions and Its Practices in Multimodal Large Language Models.

Autoři: Zhou, Siling Li, Wenjie Zhou, Mengting a další

Zdroj: Animals (2076-2615); Oct2025, Vol. 15 Issue 20, p3030, 20p

Témata: NATURAL language processing, LANGUAGE models, LIVESTOCK, ANIMAL welfare, HUMAN activity recognition, ANIMAL behavior, COMPUTER vision, LIVESTOCK productivity

MSVEC: A Multidomain Testing Dataset for Scientific Claim Verification

Autoři: Evans, Michael Soós, Dominik Landers, Ethan a další

Zdroj: Computer Science Faculty Publications

Témata: Computing methodologies, Artificial intelligence, Natural language processing, Lexical semantics, Benchmark datasets, Large language models, Machine learning, Artificial Intelligence and Robotics, Digital Communications and Networking, Information Security

Relation: https://digitalcommons.odu.edu/computerscience_fac_pubs/290

Dostupnost: https://digitalcommons.odu.edu/computerscience_fac_pubs/290
https://doi.org/10.1145/3565287.3617630
https://dl.acm.org/doi/proceedings/10.1145/3565287

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

Autoři: Praveena T. Anupama K.

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

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

From Codebooks to Promptbooks: Extracting Information from Text with Generative Large Language Models.

Autoři: Stuhler, Oscar Ton, Cat Dang Ollion, Etienne

Zdroj: Sociological Methods & Research; Aug2025, Vol. 54 Issue 3, p794-848, 55p

Témata: LANGUAGE models, GENERATIVE artificial intelligence, NATURAL language processing, DATA mining, SOCIOLOGICAL research, ELECTRONIC newspapers

Natural Language Processing in Low-Resource Language Contexts.

Autoři: ivasubramanian, R. S. Umamaheswari, T. S. Tilak Babu, S. B. G. a další

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

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

Compositional distributional semantics with compact closed categories and Frobenius algebras

Autoři: Kartsaklis, Dimitrios Sadrzadeh, Mehrnoosh Coecke, Bob a další

Přispěvatelé: Kartsaklis, Dimitrios Sadrzadeh, Mehrnoosh Coecke, Bob a další

Témata: 512, Computational Linguistics, Natural Language Processing, Artificial Intelligence, Computer science (mathematics), Quantum theory (mathematics), Computing, Quantum information processing, Physics and CS, category theory, categorical quantum mechanics, compositionality, distributional models, semantics, vector space models, mathematics of language

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658422

Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses.

Autoři: Baydili, İsmail Tasci, Burak Tasci, Gülay

Zdroj: Diagnostics (2075-4418); Feb2025, Vol. 15 Issue 4, p434, 34p

Témata: MACHINE learning, LANGUAGE models, NATURAL language processing, MENTAL illness, ARTIFICIAL intelligence

Harmony in Chaos: A Comprehensive Exploration of Disruption and Sustainability Through NLP and Network Analysis.

Autoři: Forciniti, Alessia Zavarrone, Emma Alaimo, Leonardo Salvatore

Zdroj: Social Indicators Research; Jul2025, Vol. 178 Issue 3, p1245-1272, 28p

Témata: SUSTAINABILITY, NATURAL language processing, DISCOURSE, COMMUNICATION network analysis, EVALUATION research, TECHNOLOGICAL innovations, DIGITAL technology

Analysis of argument structure constructions in a deep recurrent language model.

Autoři: Ramezani, Pegah Schilling, Achim Krauss, Patrick

Zdroj: Frontiers in Computational Neuroscience; 2025, p1-10, 10p

Témata: NATURAL language processing, LANGUAGE models, LONG short-term memory, RECURRENT neural networks, COMPUTATIONAL neuroscience, NEUROLINGUISTICS, COGNITIVE neuroscience

Improving police recorded crime data for domestic violence and abuse through natural language processing.

Autoři: Cook, Darren Weir, Ruth Humphreys, Leslie

Zdroj: Frontiers in Sociology; 2025, p1-13, 13p

A Natural Language Processing Analysis of Newspapers Coverage of Hong Kong Protests Between 1998 and 2020.

Autoři: Dore, Giovanna Maria Dora

Zdroj: Social Indicators Research; Sep2023, Vol. 169 Issue 1/2, p143-166, 24p, 1 Illustration, 2 Charts, 4 Graphs

Témata: NATURAL language processing, KEYWORDS, NEWSPAPERS, SENTIMENT analysis, ATTRIBUTION of news

Geografický termín: HONG Kong (China)

AraEyebility: Eye-Tracking Data for Arabic Text Readability.

Autoři: Baazeem, Ibtehal Al-Khalifa, Hend Al-Salman, Abdulmalik

Zdroj: Computation; May2025, Vol. 13 Issue 5, p108, 42p

Témata: NATURAL language processing, DEEP learning, PROGRAMMING languages, EYE movements, MACHINE learning, GAZE, EYE tracking

Chinese Lexical Semantics : 23rd Workshop, CLSW 2022, Virtual Event, May 14–15, 2022, Revised Selected Papers, Part I

Autoři: Qi Su Ge Xu Xiaoyan Yang

Resource Type: eBook.

Témata: Artificial intelligence, Computers, Software engineering, Image processing—Digital techniques, Computer vision, Database management, Natural language processing (Computer science)

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / General, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Database Administration & Management, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Speech & Audio Processing

Vision-language foundation models for medical imaging: a review of current practices and innovations.

Autoři: Ryu, Ji Seung Kang, Hyunyoung Chu, Yuseong a další

Zdroj: Biomedical Engineering Letters; Sep2025, Vol. 15 Issue 5, p809-830, 22p

Distributional Semantics: Meaning Through Culture and Interaction.

Autoři: Contreras Kallens P Christiansen MH

Zdroj: Topics in cognitive science [Top Cogn Sci] 2025 Jul; Vol. 17 (3), pp. 739-769. Date of Electronic Publication: 2024 Nov 26.

Způsob vydávání: Journal Article; Review

Informace o časopise: Publisher: Cognitive Science Society, Inc Country of Publication: United States NLM ID: 101506764 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1756-8765 (Electronic) Linking ISSN: 17568757 NLM ISO Abbreviation: Top Cogn Sci Subsets: MEDLINE

Výrazy ze slovníku MeSH: Semantics* , Language Development* , Language* , Culture* , Psycholinguistics*, Humans

Exploring the Chinese public's affective attitudes towards digital transformation in agriculture: A social media‐based analysis.

Autoři: Wu, Jinghua Qiu, Peng

Zdroj: Applied Psychology: Health & Well-Being; Nov2024, Vol. 16 Issue 4, p1864-1885, 22p

Témata: AGRICULTURAL technology, SOCIAL media, DIGITAL transformation, NATURAL language processing, CHINESE people