In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
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Question: Although such an approach has been used in different studies during feature engineering, the selection of word vectors and the number of clusters remain a trial-end-error procedure. 

Answer: Which other hyperparameters, other than number of clusters are typically evaluated in this type of research?


Question: To fine-tune BERT, we used a proprietary corpus that consists of hundreds of thousands of legal agreements.

Answer: How big is dataset used for fine-tuning BERT?


Question: For the other techniques, we extract paragraphs containing any word from a predetermined list of LGTBQ terms (shown in Table TABREF19)

Answer:
How do they identify discussions of LGBTQ people in the New York Times?