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Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This new volume, Natural Language Processing in Artificial Intelligence, focuses on natural language processing (NLP), artificial intelligence (AI), and allied areas, discussing theoretical work and advanced applications, approaches, and techniques for computational models of information and how they are presented by language (artificial, human, or natural in other ways). It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It also explores difficult problems and challenges related to partiality, under specification, and context-dependency, which are signature features of information in nature and natural languages.
Topics include the process of business intelligence and how this platform is used, the concepts of information retrieval systems, the neural machine translation (NMT) process, the choice of words and text in natural language processing, embedded traffic control and management systems, a technique for generating ontology by adopting the fruit fly optimization algorithm, POS labeling using the Viterbi algorithm, how natural language processing techniques can be used to prevent phishing attacks, and more.
Key features:
This volume will be a useful and informative resource for faculty, advanced-level students, and professionals in the field of artificial intelligence, natural language processing, and other areas.
Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This new volume, Natural Language Processing in Artificial Intelligence, focuses on natural language processing (NLP), artificial intelligence (AI), and allied areas, discussing theoretical work and advanced applications, approaches, and techniques for computational models of information and how they are presented by language (artificial, human, or natural in other ways). It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It also explores difficult problems and challenges related to partiality, under specification, and context-dependency, which are signature features of information in nature and natural languages.
Topics include the process of business intelligence and how this platform is used, the concepts of information retrieval systems, the neural machine translation (NMT) process, the choice of words and text in natural language processing, embedded traffic control and management systems, a technique for generating ontology by adopting the fruit fly optimization algorithm, POS labeling using the Viterbi algorithm, how natural language processing techniques can be used to prevent phishing attacks, and more.
Key features:
This volume will be a useful and informative resource for faculty, advanced-level students, and professionals in the field of artificial intelligence, natural language processing, and other areas.
Atsiliepimai