Q: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
In addition, we include state-of-the-art models : RegSum BIBREF0 and GCN+PADG BIBREF3. We outperform both in terms of ROUGE-1. For ROUGE-2 scores we achieve better results than GCN+PADG but without any use of domain-specific hand-crafted features and a much smaller and simpler model. Finally, RegSum achieves a similar ROUGE-2 score but computes sentence saliences based on word scores, incorporating a rich set of word-level and domain-specific features.
Question: How better are state-of-the-art results than this model?
A:
we achieve better results than GCN+PADG but without any use of domain-specific hand-crafted features RegSum achieves a similar ROUGE-2 score