instruction:
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.
question:
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.
answer:
Do they incoprorate WordNet into the model?

question:
Thus, SIM has many fewer parameters than existing dialogue state tracking models. To compensate for the exclusion of slot-specific parameters, we incorporate better feature representation of user utterance and dialogue states using syntactic information and convolutional neural networks (CNN).
answer:
How do they prevent the model complexity increasing with the increased number of slots?

question:
Therefore, we decided to compile our own corpora based on English documents, which we crawled from different publicly accessible sources.
answer:
Do they report results only on English data?