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This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Natural Language Processing (NLP) --- Computational Linguistics --- Artificial Intelligence --- Data Mining and Knowledge Discovery --- Open Access --- Deep Learning --- Representation Learning --- Knowledge Representation --- Word Representation --- Document Representation --- Big Data --- Machine Learning --- Natural Language Processing --- Natural language & machine translation --- Computational linguistics --- Artificial intelligence --- Data mining --- Expert systems / knowledge-based systems

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This open access book constitutes the proceedings of the 29th European Symposium on Programming, ESOP 2020, which was planned to take place in Dublin, Ireland, in April 2020, as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The actual ETAPS 2020 meeting was postponed due to the Corona pandemic. The papers deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems.

Programming Languages, Compilers, Interpreters --- Computer Systems Organization and Communication Networks --- Control Structures and Microprogramming --- Information Systems and Communication Service --- Natural Language Processing (NLP) --- Theory of Computation --- artificial intelligence --- computer networks --- computer programming --- computer security --- distributed computer systems --- embedded systems --- formal languages --- formal logic --- linguistics --- mathematics --- model checking --- object-oriented programming --- parallel processing systems --- program compilers --- semantics --- software architecture --- software design --- software engineering --- software quality --- verification and validation --- Programming & scripting languages: general --- Compilers & interpreters --- Computer networking & communications --- Algorithms & data structures --- Natural language & machine translation --- Computer science --- Mathematical theory of computation