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]: For DQA four participants answered each question, therefore we took the average INLINEFORM0 , INLINEFORM1 , and INLINEFORM2 values over the four evaluators as the result per question. 
 Question: How do they measure performance?
[EX A]: average INLINEFORM0 , INLINEFORM1 , and INLINEFORM2 values

[EX Q]: We have evaluated the output of Nefnir against a reference corpus of 21,093 tokens and their correct lemmas.

Samples for the reference corpus were extracted from two larger corpora, in order to obtain a diverse vocabulary: 
 Question: Which dataset do they use?
[EX A]: a reference corpus of 21,093 tokens and their correct lemmas

[EX Q]: We mix standard linguistic features, such as Part-Of-Speech (POS) and chunk tag, together with several gazetteers specifically built for classical music, and a series of features representing tokens' left and right context. 
 Question: What kind of corpus-based features are taken into account?
[EX A]:
standard linguistic features, such as Part-Of-Speech (POS) and chunk tag series of features representing tokens' left and right context