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.

[EX Q]: Several recent works have investigated jointly training the acoustic model with a masking speech enhancement model BIBREF11, BIBREF12, BIBREF13, but these works did not evaluate their system on speech enhancement metrics. Indeed, our internal experiments show that without access to the clean data, joint training severely harms performance on these metrics.
Question: Which frozen acoustic model do they use?
[EX A]: a masking speech enhancement model BIBREF11, BIBREF12, BIBREF13

[EX Q]: The two main data sets that we will use to evaluate our architecture are the 2014 i2b2 de-identification challenge data set BIBREF2 and the nursing notes corpus BIBREF3 .
Question: Which two datasets is the system tested on?
[EX A]: 2014 i2b2 de-identification challenge data set BIBREF2 nursing notes corpus BIBREF3

[EX Q]: We compile three Chinese text corpora from online data for three domains, namely, "hotel", "mobile phone (mobile)", and "travel". All texts are about user reviews.
Question: What are the sources of the data?
[EX A]:
User reviews written in Chinese collected online for hotel, mobile phone, and travel domains