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.
--------
Question: Each passage was labelled by 3 unique annotators.
Question: How many annotators were there?

Answer: 3

Question: Validated transcripts were sent to professional translators. In order to control the quality of the professional translations, we applied various sanity checks to the translations BIBREF11. We also sanity check the overlaps of train, development and test sets in terms of transcripts and voice clips (via MD5 file hashing), and confirm they are totally disjoint.
Question: How is the quality of the data empirically evaluated?

Answer: Validated transcripts were sent to professional translators. various sanity checks to the translations sanity check the overlaps of train, development and test sets

Question: We only used models of dimension 300 and, for Word2Vec, Wang2Vec, and FastText, skip-gram architectured models.
Question: what word embedding techniques did they experiment with?

Answer:
Word2Vec, Wang2Vec, and FastText