Papers by Kailong Hao

Copied to clipboard

Challenge:	Existing methods for relation extraction ignore the incompleteness of existing knowledge bases . current methods are too weak and cause noises when training and testing are not based on training data.
Approach:	They propose a method to automatically align unstructured text with relation instances in a knowledge base . they use heuristics to leverage the memory mechanism of deep neural networks to find out possible FN samples .
Outcome:	Experiments on two wildly-used benchmark datasets show the effectiveness of the proposed method.