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Biology --- General ethics --- Bioethics. --- Medical ethics. --- Science --- Moral and ethical aspects.

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The book offers a detailed guide to temporal ordering, exploring open problems in the field and providing solutions and extensive analysis. It addresses the challenge of automatically ordering events and times in text. Aided by TimeML, it also describes and presents concepts relating to time in easy-to-compute terms. Working out the order that events and times happen has proven difficult for computers, since the language used to discuss time can be vague and complex. Mapping out these concepts for a computational system, which does not have its own inherent idea of time, is, unsurprisingly, tough. Solving this problem enables powerful systems that can plan, reason about events, and construct stories of their own accord, as well as understand the complex narratives that humans express and comprehend so naturally. This book presents a theory and data-driven analysis of temporal ordering, leading to the identification of exactly what is difficult about the task. It then proposes and evaluates machine-learning solutions for the major difficulties. It is a valuable resource for those working in machine learning for natural language processing as well as anyone studying time in language, or involved in annotating the structure of time in documents.

Engineering. --- Artificial intelligence. --- Text processing (Computer science). --- Computational linguistics. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Document Preparation and Text Processing. --- Computational Linguistics. --- Processing, Text (Computer science) --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Data processing --- Natural language processing (Computer science). --- Artificial Intelligence. --- Natural Language Processing (NLP). --- NLP (Computer science) --- Human-computer interaction --- Semantic computing --- Text processing (Computer science)

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The book offers a detailed guide to temporal ordering, exploring open problems in the field and providing solutions and extensive analysis. It addresses the challenge of automatically ordering events and times in text. Aided by TimeML, it also describes and presents concepts relating to time in easy-to-compute terms. Working out the order that events and times happen has proven difficult for computers, since the language used to discuss time can be vague and complex. Mapping out these concepts for a computational system, which does not have its own inherent idea of time, is, unsurprisingly, tough. Solving this problem enables powerful systems that can plan, reason about events, and construct stories of their own accord, as well as understand the complex narratives that humans express and comprehend so naturally. This book presents a theory and data-driven analysis of temporal ordering, leading to the identification of exactly what is difficult about the task. It then proposes and evaluates machine-learning solutions for the major difficulties. It is a valuable resource for those working in machine learning for natural language processing as well as anyone studying time in language, or involved in annotating the structure of time in documents.

Applied physical engineering --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Mathematical linguistics --- neuronale netwerken --- fuzzy logic --- cybernetica --- NLP (neurolinguïstisch programmeren) --- spraaktechnologie --- machine learning --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- AI (artificiële intelligentie)

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"In this long-awaited follow-up to his 2003 book on Genesis, humanist scholar Leon Kass explores how Exodus raises and then answers the central political questions of what defines a nation and how a nation should govern itself. Considered by some the most important book in the Hebrew Bible, Exodus tells the story of the Jewish people from their enslavement in Egypt, through their liberation under Moses's leadership, to the covenantal founding at Sinai and the building of the Tabernacle. In Kass's analysis, these events began the slow process of learning how to stop thinking like slaves and become an independent people. The Israelites ultimately founded their nation on three elements: a shared narrative that instills empathy for the poor and the suffering, the uplifting rule of a moral law, and devotion to a higher common purpose. These elements, Kass argues, remain the essential principles for any freedom-loving nation today." --

Bible.