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Clifford Geertz Local Knowledge Text Only - world-movies.ru
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Clifford Geertz Local Knowledge (Text Only)


The noted cultural anthropologist and author of 'The Interpretation of Cultures' deepens our understanding of human societies through the intimacies of 'local knowledge.'This sequel to The Interpretation of Cultures is a collection of essays which reject large abstractions, going beyond the mere translation of one culture into another, and looks at the underlying, compartmentalized reality.

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Shashi Narayan Deep Learning Approaches to Text Production


Text production has many applications. It is used, for instance, to generate dialogue turns from dialogue moves, verbalise the content of knowledge bases, or generate English sentences from rich linguistic representations, such as dependency trees or abstract meaning representations. Text production is also at work in text-to-text transformations such as sentence compression, sentence fusion, paraphrasing, sentence (or text) simplification, and text summarisation. This book offers an overview of the fundamentals of neural models for text production. In particular, we elaborate on three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn to produce better input representations, and how neural generators account for task-specific objectives. Indeed, each text-production task raises a slightly different challenge (e.g, how to take the dialogue context into account when producing a dialogue turn, how to detect and merge relevant information when summarising a text, or how to produce a well-formed text that correctly captures the information contained in some input data in the case of data-to-text generation). We outline the constraints specific to some of these tasks and examine how existing neural models account for them. More generally, this book considers text-to-text, meaning-to-text, and data-to-text transformations. It aims to provide the audience with a basic knowledge of neural approaches to text production and a roadmap to get them started with the related work. The book is mainly targeted at researchers, graduate students, and industrials interested in text production from different forms of inputs.

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Elena Simperl Incentive-Centric Semantic Web Application Engineering


Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.

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Hermann Rebel When Women Held the Dragon's Tongue


“Peasants tell tales,” one prominent cultural historian tells us (Robert Darnton). Scholars must then determine and analyze what it is they are saying and whether or not to incorporate such tellings into their histories and ethnographies. Challenging the dominant culturalist approach associated with Clifford Geertz and Marshall Sahlins among others, this book presents a critical rethinking of the philosophical anthropologies found in specific histories and ethnographies and thereby bridges the current gap between approaches to studies of peasant society and popular culture. In challenging the methodology and theoretical frameworks currently used by social scientists interested in aspects of popular culture, the author suggests a common discursive ground can be found in an historical anthropology that recognizes how myths, fairytales and histories speak to a universal need for imagining oneself in different timescapes and for linking one’s local world with a “known” larger world.

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Группа авторов The Ethics of Knowledge Creation


Anthropology lies at the heart of the human sciences, tackling questions having to do with the foundations, ethics, and deployment of the knowledge crucial to human lives. The Ethics of Knowledge Creation focuses on how knowledge is relationally created, how local knowledge can be transmuted into ‘universal knowledge’, and how the transaction and consumption of knowledge also monitors its subsequent production. This volume examines the ethical implications of various kinds of relations that are created in the process of ‘transacting knowledge’ and investigates how these transactions are also situated according to broader contradictions or synergies between ethical, epistemological, and political concerns.

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