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.

These models define parametrized similarity scoring functions $: Q imes T
ightarrow \mathbb {R}$ , where $Q$ is the set of natural language questions and $T$ is the set of paraphrases of logical forms.
Question: Does a neural scoring function take both the question and the logical form as inputs?
Yes