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

Answer: What is the strong baseline?

Question: Looking into the future, an excellent extension from the works surveyed in this paper would be to give more independence to the several learning methods (e.g. less human intervention) involved in the studies as well as increasing the size of the output images.

Answer: What challenges remain unresolved?

Question: Baselines. As none of the existing KBC methods can solve the OKBC problem, we choose various versions of LiLi as baselines.

Single: Version of LiLi where we train a single prediction model INLINEFORM0 for all test relations.

Sep: We do not transfer (past learned) weights for initializing INLINEFORM0 , i.e., we disable LL.

F-th): Here, we use a fixed prediction threshold 0.5 instead of relation-specific threshold INLINEFORM0 .

BG: The missing or connecting links (when the user does not respond) are filled with "@-RelatedTo-@" blindly, no guessing mechanism.

w/o PTS: LiLi does not ask for additional clues via past task selection for skillset improvement.

Answer:
What baseline is used in the experiments?