Learning with noise: Enhance distantly supervised relation extraction with dynamic transition matrix

ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Volumn 1, Issue , 2017, Pages 430-439

  Luo, Bingfeng ^a   Feng, Yansong ^a   Wang, Zheng ^b   Zhu, Zhanxing ^a   Huang, Songfang ^c   Yan, Rui ^a   Zhao, Dongyan ^a  

^a PEKING UNIVERSITY   (China)

^b LANCASTER UNIVERSITY   (United Kingdom)

^c IBM Research   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; EXTRACTION; LINGUISTICS; MATRIX ALGEBRA;

CLASSIFICATION TASKS; DYNAMIC TRANSITIONS; LEARNING-BASED METHODS; MODEL PERFORMANCE; RELATION EXTRACTION; STATE OF THE ART; TRAINING DATA; TRANSITION MATRICES;

CLASSIFICATION (OF INFORMATION);

EID: 85040914364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/P17-1040     Document Type: Conference Paper

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