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.

[EX Q]: However, we see that IR methods perform better than the best neural models. We do not find enough evidence to reject the null hypothesis regarding what context from the cited document should be used.
[EX A]: Which baseline performs best?

[EX Q]: In task 1, there are two top categories, namely, chit-chat and task-oriented dialogue.
[EX A]: How many intents were classified?

[EX Q]: We calculate the probability of a sentence with a long-short term memory (LSTM, hochreiter1997long) LM, i.e., a special type of RNN LM, which has been trained on a large corpus. We train our LSTM LMs on the English Gigaword corpus BIBREF15 , which consists of news data.
[EX A]:
what language models do they use?