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portada Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
Type
Physical Book
Author
Publisher
Language
English
Pages
183
Format
Paperback
Dimensions
23.5 x 19.1 x 1.1 cm
Weight
0.35 kg.
ISBN13
9783031007842
Edition No.
1
Categories

Mining Structures of Factual Knowledge from Text: An Effort-Light Approach

Jiawei Han (Author) · Xiang Ren (Author) · Springer · Paperback

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

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Synopsis "Mining Structures of Factual Knowledge from Text: An Effort-Light Approach"

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.

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