Aug 17, 2017 · Based on the calculated confidence values of triples, incorrect triples are detected using machine-learning-based classification. An experiment ...
A methodology to evaluate triple confidence and detect incorrect triples in knowledge bases. Abstract: The accuracy of the contents of a knowledge base ...
Jun 19, 2016 · This study introduces a generic computational methodology to compute the confidence values of triples in knowledge bases and detect potentially ...
This study introduces a generic computational methodology to compute the confidence values of triples in knowledge bases and detect potentially incorrect ones ...
This study introduces a generic computational methodology to compute the confidence values of triples in knowledge bases and detect potentially incorrect ones ...
Detect Incorrect Triples in Knowledge Base Based on Triple Confidence Evaluation, ICIBE 2017 (International Conference on Industrial and Business ...
We evaluate the model on the knowledge graph error detection task. Experimental results show that the KGTtm can effectively detect the error triples and achieve ...
Missing: Incorrect | Show results with:Incorrect
This paper proposes a machine learning approach to identify inaccurate triples that correspond to actual human evaluations by injecting supervision.
Jun 19, 2017 · To classify a triple to be correct or wrong, we use a given confidence threshold (β) to apply to the confidence score. Page 11. 4 Evaluation ...
To classify a triple to be correct or wrong, we use a given confidence threshold (β) to apply to the confidence score. Page 11. 4 Evaluation Methods, Datasets ...