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.

To test the robustness of the taggers against the OOV problem, we also conduct experiments using artificially constructed unnormalized text by corrupting words in the normal dev set. Again, the CNN tagger outperforms the two baselines by a very large margin.
Question: How do they confirm their model working well on out-of-vocabulary problems?
conduct experiments using artificially constructed unnormalized text by corrupting words in the normal dev set