instruction:
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:
Our pool of annotators is selected after several short training rounds, with up to 15 predicates per round, in which they received extensive personal feedback.
Question: How are workers trained?
answer:
extensive personal feedback

question:
Results show that the CJFA encoder obtains significantly better phone classification accuracy than the VAE baseline and also than the CJFS encoder. These results are replicated for speaker recognition tasks.
Question: Which approach out of two proposed in the paper performed better in experiments?
answer:
CJFA encoder

question:
Tweets IDs 6, 8, and 10 are some samples containing offensive words and slurs which arenot hate or offensive in all cases and writers of them used this type of language in their daily communications. Given these pieces of evidence, by considering the content of tweets, we can see in tweets IDs 3, 4, and 9 that our BERT-based classifier can discriminate tweets in which neither and implicit hatred content exist.
Question: What evidence do the authors present that the model can capture some biases in data annotation and collection?
answer:
The authors showed few tweets where neither and implicit hatred content exist but the model was able to discriminate