Natural Language Processing in Artificial Intelligence ― NLPinAI 2021
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- Дата: 22-12-2021, 19:18
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Автор: Roussanka Loukanova
Издательство: Springer
Год: 2022
Страниц: 126
Язык: английский
Формат: pdf (true)
Размер: 10.16 MB
The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language are proliferating. Adequate coverage of natural language processing in artificial intelligence encounters problems on developments of specialized computational approaches and algorithms. Many difficulties are due to ambiguities in natural language and dependency of interpretations on contexts and agents. Classical approaches proceed with relevant updates, and new developments emerge in theories of formal and natural languages, computational models of information and reasoning, and related computerized applications.
The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Its focus is on computational processing of human language and relevant medium languages, which can be theoretically formal, or for programming and specification of computational systems. The goal is to promote intelligent natural language processing, along with models of computation, language, reasoning, and other cognitive processes.
The book sequence Natural Language Processing in Artificial Intelligence- NLPinAI covers a variety of topics, e.g.:
- Logic Approaches to Natural Language Processing
- Classical and Non-Classic Logics for applications to NLP
- Type Theories for Applications to Natural Language
- Computational Grammar
- Large-Scale Grammars of Natural Languages
- Syntax, Semantics, Syntax-Semantics Interfaces
- Information Theory
- Statistical Approaches in Computational Linguistics and NLP
- Machine Learning of Grammar and Language
- Integrated Approaches in Computational Linguistics and NLP
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