Intelligent Natural Language Processing: Trends and Applications / edited by Khaled Shaalan, Aboul Ella Hassanien, Fahmy Tolba.
Contributor(s): Shaalan, Khaled., editor literario | Hassanien, Aboul-Ella, editor literario
| Tolba, Fahmy., editor literario
Series: (Studies in Computational Intelligence,, 1860-949X; 740); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2018Description: 1 recurso en línea (X, 776 páginas 215 ilustraciones, 142 ilustraciones a color.).ISBN: 9783319670560.Subject: Proceso en lenguaje natural (Informática)
Abstract: This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned. Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas. New trends in natural language processing systems are rapidly emerging - and finding application in various domains including education, travel and tourism, and healthcare, among others. Many issues encountered during the development of these applications can be resolved by incorporating language technology solutions. The topics covered by the book include: Character and Speech Recognition; Morphological, Syntactic, and Semantic Processing; Information Extraction; Information Retrieval and Question Answering; Text Classification and Text Mining; Text Summarization; Sentiment Analysis; Machine Translation Building and Evaluating Linguistic Resources; and Intelligent Language Tutoring Systems.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9.N38 I584 2018 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.15112371 |
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| QA76.9.N38 ES Natural Language Engineering | QA76.9 .N38 H376 2015 EB Harmonization and Development of Resources and Tools for Italian Natural Language Processing within the PARLI Project | QA76.9.N38 H937 2016 EB Hybrid Approaches to Machine Translation | QA76.9.N38 I584 2018 EB Intelligent Natural Language Processing: Trends and Applications | QA76.9.N38 N493 2016 EB New Directions in Empirical Translation Process Research : Exploring the CRITT TPR-DB | QA76.9 .N38 P659 2015 EB Personality in Speech Assessment and Automatic Classification | QA76.9 .N38 R637 2015 EB Advanced Applications of Natural Language Processing for Performing Information Extraction |
This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned. Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas. New trends in natural language processing systems are rapidly emerging - and finding application in various domains including education, travel and tourism, and healthcare, among others. Many issues encountered during the development of these applications can be resolved by incorporating language technology solutions. The topics covered by the book include: Character and Speech Recognition; Morphological, Syntactic, and Semantic Processing; Information Extraction; Information Retrieval and Question Answering; Text Classification and Text Mining; Text Summarization; Sentiment Analysis; Machine Translation Building and Evaluating Linguistic Resources; and Intelligent Language Tutoring Systems.
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