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]: Similarly the agents utterances can be clustered to identify system responses. However, we argue that rather than treating user utterances and agents responses in an isolated manner, there is merit in jointly clustering them. There is adjacency information of these utterances that can be utilized to identify better user intents and system responses.
Question: Do they study frequent user responses to help automate modelling of those?
[EX A]: Yes

[EX Q]: The CoNLL-2012 shared task BIBREF21 corpus is used as the evaluation dataset, which is selected from the Ontonotes 5.0.
Question: What dataset do they evaluate their model on?
[EX A]: CoNLL-2012 shared task BIBREF21 corpus

[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