Bias Modeling for Distantly Supervised Relation Extraction
Bias Modeling for Distantly Supervised Relation Extraction
About this item
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Author / Creator
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
Formats
Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Subjects
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
Author / Creator
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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