EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery
Ahmad Issa Alaa Aldine, Mounira Harzallah, Giuseppe Berio, Nicolas Béchet, Ahmad Faour · 2018
In this paper, we present our proposed system (EXPR) to participate in the hypernym discovery task of SemEval 2018.The task addresses the challenge of discovering hypernym relations from a text corpus.Our proposal is a combined approach of path-based technique and distributional technique.We use dependency parser on a corpus to extract candidate hypernyms and represent their dependency paths as a feature vector.The feature vector is concatenated with a feature vector obtained using Wikipedia pre-trained term embedding model.The concatenated feature vector fits a supervised machine learning method to learn a classifier model.This model is able to classify new candidate hypernyms as hypernym or not.Our system performs well to discover new hypernyms not defined in gold hypernyms.