Mining Structures of Factual Knowledge from Text: An Effort-Light Approach, Xiang Ren, Jiawei Han

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733927 ISBN-13(EAN): 9781681733920
Издательство: Mare Nostrum (Eurospan)
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Цена: 82230.00 T
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Описание: 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-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.

Автор: Stanis?aw Kozielski; Dariusz Mrozek; Pawe? Kasprow
Название: Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery
ISBN: 3319340980 ISBN-13(EAN): 9783319340982
Издательство: Springer
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Цена: 91310.00 T
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Описание: This book constitutes the refereed proceedings of the 12th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2016, held in Ustron, Poland, in May/June 2016.It consists of 57 carefully reviewed papers selected from 152 submissions. architectures, structures and algorithms for efficient data processing;