TASK DEFINITION: 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.
PROBLEM: 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.

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

PROBLEM: We assume that speech transcripts can be extracted from audio signals with high accuracy, given the advancement of ASR technologies BIBREF7 .

SOLUTION: Do they use datasets with transcribed text or do they determine text from the audio?

PROBLEM: We introduce a new crowdsourced dataset of 23,700 queries, including 22,500 in-scope queries covering 150 intents, which can be grouped into 10 general domains.

SOLUTION:
Where does the data come from?