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2021
The increasing amount of data and the importance of soft factors affecting economic prosperity make this work an interesting and important read. The chapters in this book have in common that natural language processing helps to understand organizational cultural values.
Yasha Hasija, Rajkumar Chakraborty
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The increasing amount of data and the importance of soft factors affecting economic prosperity make this work an interesting and important read. The chapters in this book have in common that natural language processing helps to understand organizational cultural values.
Yasha Hasija, Rajkumar Chakraborty
+6 more sources
Natural Language Processing is a comprehensive guide that bridges the gap between theory and practice in one of the most dynamic areas of Artificial Intelligence. Written with clarity and depth, the book introduces readers to the fundamentals of NLP, covering the history, core principles, and essential tools used in the field.
Umutcan Serles, Dieter Fensel
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Umutcan Serles, Dieter Fensel
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Natural Language Processing (Almost) from Scratch
Journal of machine learning research, 2011We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity recognition, and semantic role labeling. This versatility is
R. Collobert +5 more
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Book Reviews: Foundations of Statistical Natural Language Processing
International Conference on Computational Logic, 1999Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear.
Christopher D. Manning, Hinrich Schütze
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Pre-trained models for natural language processing: A survey
Science China Technological Sciences, 2020Recently, the emergence of pre-trained models (PTMs) has brought natural language processing (NLP) to a new era. In this survey, we provide a comprehensive review of PTMs for NLP.
Xipeng Qiu +5 more
semanticscholar +1 more source
Recent Trends in Deep Learning Based Natural Language Processing
IEEE Computational Intelligence Magazine, 2017Deep learning methods employ multiple processing layers to learn hierarchical representations of data and have produced state-of-the-art results in many domains.
Tom Young +3 more
semanticscholar +1 more source
IEEE Expert, 1994
Processing natural language such as English has always been one of the central research issues of artificial intelligence, both because of the key role language plays in human intelligence and because of the wealth of potential applications. Many of the knowledge representation and inference techniques that have been applied successfully in knowledge ...
T. Patten, P. Jacobs
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Processing natural language such as English has always been one of the central research issues of artificial intelligence, both because of the key role language plays in human intelligence and because of the wealth of potential applications. Many of the knowledge representation and inference techniques that have been applied successfully in knowledge ...
T. Patten, P. Jacobs
openaire +1 more source
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 ...
openaire +2 more sources