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]: In order to fully leverage gloss information, we propose GlossBERT to construct context-gloss pairs from all possible senses of the target word in WordNet, thus treating WSD task as a sentence-pair classification problem.
[EX A]: Do they incoprorate WordNet into the model?

[EX Q]: The overall Total Accuracy score reported in table TABREF19 using the entire feature set is 549.
[EX A]: Do they experiment with the dataset?

[EX Q]: This model consists of two identical RNN encoders with no shared parameters, as well as a standard RNN decoder. For each target sentence, two versions of the source sentence are used: the sequential (standard) version and the linearized parse (lexicalized or unlexicalized).
[EX A]:
What kind of encoders are used for the parsed source sentence?