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.
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Question: Controls are calculated heuristically. All words found in the control word lists are then removed from the reference sentence. The remaining words, which represent the content, are used as input into the model, along with their POS tags and lemmas.

In this way we encourage models to construct a sentence using content and style independently.

Answer: How they know what are content words?


Question: We chose Conditional Copy (CC) model as our baseline, which is the best model in Wiseman. 

Answer: What is the strong baseline?


Question: For the sake of interpretability, we will also project back coefficients from the embeddings as well as PCA models into the dummy variable space.

Answer:
How do their interpret the coefficients?