Language: English
Published by Morgan & Claypool Publishers, 2018
ISBN 10: 1681733927 ISBN 13: 9781681733920
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Language: English
Published by Morgan & Claypool Publishers, 2018
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Taschenbuch. Condition: Neu. Mining Structures of Factual Knowledge from Text | An Effort-Light Approach | Xiang Ren (u. a.) | Taschenbuch | Synthesis Lectures on Data Mining and Knowledge Discovery | xv | Englisch | 2018 | Springer | EAN 9783031007842 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Morgan & Claypool Publishers, 2018
ISBN 10: 1681733927 ISBN 13: 9781681733920
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Language: English
Published by Springer International Publishing, 2018
ISBN 10: 3031007840 ISBN 13: 9783031007842
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Xiang Ren is an Assistant Professor in the Department of Computer Science at USC, affiliated faculty at USC ISI, and a part-time data science advisor at Snap Inc. At USC, Xiang is part of the Machine Learning Center, NLP community, and Center on Knowledge G.
Language: English
Published by Springer, Palgrave Macmillan Jun 2018, 2018
ISBN 10: 3031007840 ISBN 13: 9783031007842
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora. Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-valuemining and information extraction. This book introduces this new research frontier and points out some promising research directions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch.