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]: For de-identification tasks, the three metrics we will use to evaluate the performance of our architecture are Precision, Recall and INLINEFORM0 score as defined below.
Question: What evaluation metrics do they use?
[A]: Precision, Recall and INLINEFORM0 score

[Q]: As we can see that, all variants of our CRU model could give substantial improvements over the traditional GRU model, where a maximum gain of 2.7%, 1.0%, and 1.9% can be observed in three datasets, respectively.
Question: Do experiment results show consistent significant improvement of new approach over traditional CNN and RNN models?
[A]: Yes

[Q]: This paper used the real-time method to randomly collect 10% of publicly available English tweets using several pre-defined DDEO-related queries (Table TABREF6 ) within a specific time frame.
Question: Do they evaluate only on English data?
[A]:
Yes