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:
. We address various different challenges: dialogue act annotated data is not available for customer service on Twitter, the task of dialogue act annotation is subjective, existing taxonomies do not capture the fine-grained information we believe is valuable to our task, and tweets, although concise in nature, often consist of overlapping dialogue acts to characterize their full intent.
answer:
Which dialogue acts are more suited to the twitter domain?


question:
For testing, we also applied the TongueNet on the UBC database BIBREF14 without any training to see the generalization ability of the model.
answer:
What previously annotated databases are available?


question:
Therefore, we implement reinforcement learning and elaborately design two rewards to describe the irony accuracy and sentiment preservation, respectively.
answer:

What is the combination of rewards for reinforcement learning?