In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

The challenge is addressed as follows: given a natural language input sequence describing the scene, such as a piece of a story coming from a transcript, the goal is to infer which action is most likely to happen next.
Question: Do they literally just treat this as "predict the next spell that appears in the text"?
Yes

We combine 13k questions gathered from this pipeline with an additional 3k questions with yes/no answers from the NQ training set to reach a total of 16k questions.
Question: what is the size of BoolQ dataset?
16k questions

In ConMask, we use a similar idea to select the most related words given some relationship and mask irrelevant words by assigning a relationship-dependent similarity score to words in the given entity description. ConMask selects words that are related to the given relationship to mitigate the inclusion of irrelevant and noisy words.
Question: Can the model add new relations to the knowledge graph, or just new entities?
The model does not add new relations to the knowledge graph.