Improved relation classification by deep recurrent neural networks with data augmentation

COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers

Volumn , Issue , 2016, Pages 1461-1470

  Xu, Yan ^a   Jia, Ran ^a   Mou, Lili ^a   Li, Ge ^a   Chen, Yunchuan ^b   Lu, Yangyang ^a,c   Jin, Zhi ^a  

^a PEKING UNIVERSITY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c Inveno Co   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; DEEP NEURAL NETWORKS; NETWORK ARCHITECTURE; NETWORK LAYERS;

ABSTRACTION LEVEL; CONVOLUTIONAL NEURAL NETWORK; DATA AUGMENTATION; NEURAL ARCHITECTURES; POTENTIAL REPRESENTATIONS; RECURRENT NETWORKS; RELATION CLASSIFICATIONS; STATE OF THE ART;

RECURRENT NEURAL NETWORKS;

EID: 85034241002     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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