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.

Ex Input:
Table TABREF46 shows that our Open model achieves more than 3 points of f1-score than the state-of-the-art result, and RelAwe with DepPath&RelPath achieves the best in both Closed and Open settings.
Question: How big is improvement over the old state-of-the-art performance on CoNLL-2009 dataset?

Ex Output:
our Open model achieves more than 3 points of f1-score than the state-of-the-art result

Ex Input:
Encoders with induced latent structures have been shown to benefit several tasks including document classification, natural language inference BIBREF12, BIBREF13, and machine translation BIBREF11.
Question: Is there any evidence that encoders with latent structures work well on other tasks?

Ex Output:
Yes

Ex Input:
Despite the focus on sharing datasets and source codes on popular software development platforms such as GitHub (github.com) or Zenodo (zenodo.org), it is still a challenge to use data or code from other groups.
Question: Are datasets publicly available?

Ex Output:
Yes