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 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

[Q]: In total around 500 different workers were involved in the annotation. about 500
Question: How many people participated in their evaluation study of table-to-text models?
[A]: about 500

[Q]: This working note presents RNN and LSTM based embedding system for social media health text classification. Though the data sets of task 1 and task 2 are limited, this paper proposes RNN and LSTM based embedding method.
Question: What type of RNN is used?
[A]:
RNN LSTM