Search Results for author: Marc Hübner

Found 4 papers, 4 papers with code

Improving Relation Extraction by Pre-trained Language Representations

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.

Relation Unsupervised Pre-training

Layerwise Relevance Visualization in Convolutional Text Graph Classifiers

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.

Sentence

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