12 citations · 19 across the 3 of their papers we have counts for
4 papers
Remining Hard Negatives for Generative Pseudo Labeled Domain Adaptation
Goksenin Yuksel, David Rau, Jaap Kamps
Dense retrievers have demonstrated significant potential for neural information retrieval; however, they exhibit a lack of robustness to domain shifts, thereby limiting their effic…
The Role of Complex NLP in Transformers for Text Ranking?
David Rau, Jaap Kamps
Even though term-based methods such as BM25 provide strong baselines in ranking, under certain conditions they are dominated by large pre-trained masked language models (MLMs) such…
On the Realization of Compositionality in Neural Networks
Joris Baan, Jana Leible, Mitja Nikolaus +5
We present a detailed comparison of two types of sequence to sequence models trained to conduct a compositional task. The models are architecturally identical at inference time, bu…
Point-less: More Abstractive Summarization with Pointer-Generator Networks
Freek Boutkan, Jorn Ranzijn, David Rau +1
The Pointer-Generator architecture has shown to be a big improvement for abstractive summarization seq2seq models. However, the summaries produced by this model are largely extract…