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Bias Modeling for Distantly Supervised Relation Extraction

Bias Modeling for Distantly Supervised Relation Extraction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1793226433

Bias Modeling for Distantly Supervised Relation Extraction

About this item

Full title

Bias Modeling for Distantly Supervised Relation Extraction

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

Mathematical problems in engineering, 2015-01, Vol.2015 (2015), p.1-10

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

Distant supervision (DS) automatically annotates free text with relation mentions from existing knowledge bases (KBs), providing a way to alleviate the problem of insufficient training data for relation extraction in natural language processing (NLP). However, the heuristic annotation process does not guarantee the correctness of the generated labe...

Alternative Titles

Full title

Bias Modeling for Distantly Supervised Relation Extraction

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1793226433

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1793226433

Other Identifiers

ISSN

1024-123X

E-ISSN

1563-5147

DOI

10.1155/2015/969053

How to access this item