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.

We design the word-level refine decoder because this process is similar to the cloze task in BERT's pre-train process, therefore by using the ability of the contextual language model the decoder can generate more fluent and natural sequences. 
 Question: Why masking words in the decoder is helpful?
ecause this process is similar to the cloze task in BERT's pre-train process, therefore by using the ability of the contextual language model the decoder can generate more fluent and natural sequences.

Task 1: Quora Duplicate Question Pair Detection Task 2: Ranking questions in Bing's People Also Ask 
 Question: On which tasks do they test their conflict method?
Task 1: Quora Duplicate Question Pair Detection Task 2: Ranking questions

The Zurich Cognitive Language Processing Corpus (ZuCo) 2.0, including raw and preprocessed eye-tracking and electroencephalography (EEG) data of 18 subjects, as well as the recording and preprocessing scripts, is publicly available. It contains physiological data of each subject reading 739 English sentences from Wikipedia (see example in Figure FIGREF1). During the recording session, the participants read 739 sentences that were selected from the Wikipedia corpus provided by culotta2006integrating.  
 Question: What kind of sentences were read?

sentences that were selected from the Wikipedia corpus provided by culotta2006integrating