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: replacing this single GRU with two different components first component is a sentence reader second component is the input fusion layer
Question: What changes they did on input module?

A: For the DMN+, we propose replacing this single GRU with two different components. The first component is a sentence reader The second component is the input fusion layer
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Q: We re-implement the model proposed in BIBREF3, and use it as a baseline for our problem. The rationale behind choosing this particular model as a baseline is it's proven good predictive performance on multilingual text classification.
Question: What is their baseline model?

A: the model proposed in BIBREF3
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Q: To test whether horizontal or vertical consistency is more helpful, we train and evaluate M-Bert on a dataset variant where all questions are in their English version.
Question: Did they pefrorm any cross-lingual vs single language evaluation?

A:
Yes
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