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 Q]: Compared with 2015, our QA-SRL gold yielded 1593 annotations, with 989 core and 604 adjuncts, while theirs yielded 1315 annotations, 979 core and 336 adjuncts.
Question: How much more coverage is in the new dataset?
[EX A]: 278 more annotations

[EX Q]: For English dataset, we crawl 687 cybersecurity articles from a collection of advanced persistent threats (APT) reports which are published from 2008 to 2018.
Question: Where are the cybersecurity articles used in the model sourced from?
[EX A]: from a collection of advanced persistent threats (APT) reports which are published from 2008 to 2018

[EX Q]: The final embedding dimensionality is equal to the number of unique word labels in the training set, which is 1061.
Question: Which dimensionality do they use for their embeddings?
[EX A]:
1061