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.

Input: Consider Input: Because our approach is specifically intended to yield sentences that are grammatical, we additionally consider the following log ratio (i.e., the grammatical phrase over the ungrammatical phrase):

Output: How do they measure grammaticality?


Input: Consider Input: In this paper, we propose a simple and effective method for learning affective events that only requires a very small seed lexicon and a large raw corpus. As illustrated in Figure FIGREF1, our key idea is that we can exploit discourse relations BIBREF4 to efficiently propagate polarity from seed predicates that directly report one's emotions (e.g., “to be glad” is positive).

Output: How does their model learn using mostly raw data?


Input: Consider Input: We use the Bayesian model of garg2012unsupervised as our base monolingual model. The semantic roles are predicate-specific.


Output: What does an individual model consist of?