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.

Example Input: (2) Different from LEM and DPEMM, AEM uses a generator network to capture the event-related patterns and is able to mine events from different text sources (short and long). Moreover, unlike traditional inference procedure, such as Gibbs sampling used in LEM and DPEMM, AEM could extract the events more efficiently due to the CUDA acceleration;
Example Output: What alternative to Gibbs sampling is used?

Example Input: The speech content was obtained from the closed captions (CC) provided by the YouTube ASR system which can be though as subtitles.
Example Output: What ASR system do they use?

Example Input: For every gendered character in the dataset, we ask annotators to create a new character with a persona of the opposite gender that is otherwise identical except for referring nouns or pronouns.
Example Output:
In the targeted data collection approach, what type of data is targetted?