Results 211 to 220 of about 100,090 (264)
Advanced Science, EarlyView.This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
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Advanced Science, EarlyView.CeO2‐x/Pt single‐atom nano‐island is constructed via low‐temperature reduction, featuring abundant oxygen vacancies and an island–sea structure. It delivers outstanding multi‐enzyme‐mimetic activity and ROS‐scavenging efficiency. Density functional theory reveals optimized electronic structures and reaction pathways.
Yang Zhu +12 more
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Gaussian Processes for Natural Language Processing
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials, 2014Gaussian Processes (GPs) are a powerful modelling framework incorporating kernels and Bayesian inference, and are recognised as stateof-the-art for many machine learning tasks. Despite this, GPs have seen few applications in natural language processing (notwithstanding several recent papers by the authors).
Trevor Cohn +2 more
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Genomics and natural language processing
Nature Reviews Genetics, 2002The Human Genome and MEDLINE are both the foci of intense data-mining efforts worldwide. The biomedical literature has much to say about sequence, but it also seems that sequence can tell us much about the biomedical literature. Biological natural language processing is an emerging field of research that seeks to explore systematically the ...
Mark D, Yandell, William H, Majoros
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Science, 1977
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 language; cooperative interfaces to databases and knowledge bases that model aspects of human-human interaction ...
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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 language; cooperative interfaces to databases and knowledge bases that model aspects of human-human interaction ...
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Advances in natural language processing
Science, 2015Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the linguistic structure of language and developing basic technologies such as machine translation, speech recognition ...
Julia, Hirschberg +1 more
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Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005
Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, the focus in AI applications in NLP was on knowledge representation, logical reasoning, and constraint satisfaction -
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Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, the focus in AI applications in NLP was on knowledge representation, logical reasoning, and constraint satisfaction -
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Processing natural language requirements
Proceedings 12th IEEE International Conference Automated Software Engineering, 2002The importance of requirements, which in practice often means natural language requirements, for a successful software project cannot be underestimated. Although requirement analysis has been traditionally reserved to the experience of professionals, there is no reason not to use various automatic techniques to the same end.
AMBRIOLA, VINCENZO, GERVASI, VINCENZO
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Knowledge of Language and Natural Language Processing
2023Using knowledge rather than data is key in knowledge science and enables artificial systems to solve novel problems. We distinguish the knowledge of language internal to the mind from the externalized language. We differentiate the Generative Model of Language from Large Language Models.
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Journal of the American Society for Information Science, 1984
AbstractNatural language processing has two primary roles to play in the storage and retrieval of large bodies of information: providing a friendly, easily‐learned interface to information retrieval systems, and automatically structuring texts so that their information can be more easily processed and retrieved.
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AbstractNatural language processing has two primary roles to play in the storage and retrieval of large bodies of information: providing a friendly, easily‐learned interface to information retrieval systems, and automatically structuring texts so that their information can be more easily processed and retrieved.
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