BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes
Enrico Santus, Chris Biemann, Emmanuele Chersoni · 2018
This paper describes BomJi, a supervised system for capturing discriminative attributes in word pairs (e.g.yellow as discriminative for banana over watermelon).The system relies on an XGB classifier trained on carefully engineered graph-, pattern-and word embeddingbased features.It participated in the SemEval-2018 Task 10 on Capturing Discriminative Attributes, achieving an F1 score of 0.73 and ranking 2nd out of 26 participant systems.