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.

[Q]: We used two strategies in combining prediction results of two types of models. Specifically, the Max Score Ensemble model made the final decisions based on the maximum of two scores assigned by the two separate models; instead, the Average Score Ensemble model used the average score to make final decisions.
Question: How do they combine the models?
[A]: maximum of two scores assigned by the two separate models average score

[Q]: We use the Bayesian model of garg2012unsupervised as our base monolingual model. The semantic roles are predicate-specific.
Question: What does an individual model consist of?
[A]: Bayesian model of garg2012unsupervised as our base monolingual model

[Q]: Figure FIGREF5 shows that E-BERT performs comparable to BERT and ERNIE on unfiltered LAMA.
Question: Which of the two ensembles yields the best performance?
[A]:
Answer with content missing: (Table 2) CONCAT ensemble