43 citations · 52 across the 8 of their papers we have counts for
3 papers · 1 filter
Pattern-Guided Integrated Gradients
Robert Schwarzenberg, Steffen Castle
Integrated Gradients (IG) and PatternAttribution (PA) are two established explainability methods for neural networks. Both methods are theoretically well-founded. However, they wer…
Evaluating German Transformer Language Models with Syntactic Agreement Tests
Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg +2
Pre-trained transformer language models (TLMs) have recently refashioned natural language processing (NLP): Most state-of-the-art NLP models now operate on top of TLMs to benefit f…
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling
Dmitrii Aksenov, Julián Moreno-Schneider, Peter Bourgonje +3
We explore to what extent knowledge about the pre-trained language model that is used is beneficial for the task of abstractive summarization. To this end, we experiment with condi…