1 code implementation • SEMEVAL 2020 • Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig
Definition Extraction systems are a valuable knowledge source for both humans and algorithms.
1 code implementation • WS 2019 • Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig
Representations in the hidden layers of Deep Neural Networks (DNN) are often hard to interpret since it is difficult to project them into an interpretable domain.
1 code implementation • ACL 2019 • Christoph Alt, Marc Hübner, Leonhard Hennig
Distantly supervised relation extraction is widely used to extract relational facts from text, but suffers from noisy labels.
1 code implementation • Automated Knowledge Base Construction Conference 2019 • Christoph Alt, Marc Hübner, Leonhard Hennig
Unlike previous relation extraction models, TRE uses pre-trained deep language representations instead of explicit linguistic features to inform the relation classification and combines it with the self-attentive Transformer architecture to effectively model long-range dependencies between entity mentions.
Ranked #24 on Relation Extraction on SemEval-2010 Task-8