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Books > Computing & IT > Applications of computing > Databases > Data mining
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Mining Structures of Factual Knowledge from Text - An Effort-Light Approach (Paperback)
Loot Price: R1,500
Discovery Miles 15 000
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Mining Structures of Factual Knowledge from Text - An Effort-Light Approach (Paperback)
Series: Synthesis Lectures on Data Mining and Knowledge Discovery
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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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