7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.CL2019
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…
cs.CL2019★ 7 cited
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…