Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017
This work addresses the problem of scoring triples for knowledge base completion, but it is incremental as it builds on existing ensemble and refinement techniques for a specific competition.
The paper tackled the triple scoring task in WSDM Cup 2017 by developing an ensemble method that combines text and knowledge bases, achieving winning results with improved predictive accuracy through trigger word detection.
We present our winning solution for the WSDM Cup 2017 triple scoring task. We devise an ensemble of four base scorers, so as to leverage the power of both text and knowledge bases for that task. Then we further refine the outputs of the ensemble by trigger word detection, achieving even better predictive accuracy. The code is available at https://github.com/wsdm-cup-2017/bokchoy.