]> 2019-07-31 Neural Transfer Learning for Natural Language Processing - Seb Ruder's PhD Thesis 2019-07-31T19:25:24Z 2019-07-31T00:33:14Z Chinese vlogger who used filter to look younger caught in live-stream glitch - BBC News 2019-07-31 2019-07-31 > State-of-the-art models for knowledge graph completion aim at learning a fixed embedding representation of entities in a multi-relational graph which can generalize to infer unseen entity relationships at test time. This can be sub-optimal as it requires memorizing and generalizing to all possible entity relationships using these fixed representations. We thus propose a novel **attention-based method to learn query-dependent representation of entities** which adaptively combines the relevant graph neighborhood of an entity leading to more accurate KG completion. 2019-07-31T19:37:20Z A2N: Attending to Neighbors for Knowledge Graph Inference - ACL 2019