عنوان

Mining structures of factual knowledge from text :

(Number (ISBN

1681733935

(Number (ISBN

9781681733937

Erroneous ISBN

1681733927

Erroneous ISBN

1681733943

Erroneous ISBN

9781681733920

Erroneous ISBN

9781681733944

Title Proper

Mining structures of factual knowledge from text :

General Material Designation

[Book]

Other Title Information

an effort-light approach /

First Statement of Responsibility

Xiang Ren, University of Southern California ; Jiawei Han, University of Illinois at Urbana-Champaign.

Place of Publication, Distribution, etc.

[San Rafael, California] :

Name of Publisher, Distributor, etc.

Morgan & Claypool Publishers,

Date of Publication, Distribution, etc.

[2018]

Date of Publication, Distribution, etc.

©2018

Specific Material Designation and Extent of Item

1 online resource (xv, 183 pages) :

Other Physical Details

illustrations

Series Title

Synthesis lectures on data mining and knowledge discovery,

Volume Designation

#15

ISSN of Series

2151-0075 ;

Text of Note

Includes bibliographical references (pages 167-181).

Text of Note

Introduction -- Background -- Literature review -- Entity recognition and typing with knowledge bases -- Fine-grained entity typing with knowledge bases -- Synonym discovery from large corpus / Meng Qu -- Joint extraction of typed entities and relationships -- Pattern-enhanced embedding learning for relation extraction / Meng Qu -- Heterogeneous supervision for relation extraction / Liyuan Liu -- Indirect supervision: leveraging knowledge from auxiliary tasks / Zeqiu Wu -- Mining entity attribute values with meta patterns / Meng Jiang -- Open information extraction with global structure cohesiveness / Qi Zhu -- Applications -- Conclusion -- Vision and future work.

0

Text of Note

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.

Title

MINING STRUCTURES OF FACTUAL KNOWLEDGE FROM TEXT.

International Standard Book Number

1681733943

Data mining.

Data structures (Computer science)

Electronic information resource searching.

Natural language processing (Computer science)

COMPUTERS-- General.

Data mining.

Data structures (Computer science)

Electronic information resource searching.

Natural language processing (Computer science)

COM-- 000000

Number

Edition

Class number

Book number

Ren, Xiang, (Computer scientist)

Han, Jiawei

Date of Transaction

20200823052142.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y