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An Interpretable Knowledge Transfer Model for Knowledge Base Completion
AbstractKnowledge bases are important resources for a variety of natural language processing tasks but suffer from incompleteness. We propose a novel embedding model, ITransF, to perform knowledge base completion. Equipped …...
MITRE at SemEval-2019 Task 5: Transfer Learning for Multilingual Hate Speech Detection
AbstractThis paper describes MITRE’s participation in SemEval-2019 Task 5, HatEval: Multilingual detection of hate speech against immigrants and women in Twitter. The techniques explored range from simple bag-of-ngrams classifiers to …...
Knowledge Base Completion Meets Transfer Learning
AbstractThe aim of knowledge base completion is to predict unseen facts from existing facts in knowledge bases. In this work, we introduce the first approach for transfer of knowledge from …...