12 citations · 19 across the 3 of their papers we have counts for
Showing 2019 · cs.CLShow all
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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…