In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

Ex Input:
A "coding scheme" is defined, which is a set of labels, annotations, or codes that items in the corpus may have. Schemes include formal definitions or procedures, and often include examples, particularly for borderline cases. Next, coders are trained with the coding scheme, which typically involves interactive feedback. Training sometimes results in changes to the coding scheme, in which the first round becomes a pilot test. Then, annotators independently review at least a portion of the same items throughout the entire process, with a calculation of "inter-annotator agreement" or "inter-rater reliability." Finally, there is a process of "reconciliation" for disagreements, which is sometimes by majority vote without discussion and other times discussion-based.

Ex Output:
What are the core best practices of structured content analysis?

Ex Input:
We first run our experiment on BiLSTM, BiLSTM-CNN, BiLSTM-CRF BiLSTM-CNN-CRF using the hyper-parameters mentioned in Table TABREF30.

Ex Output:
Which machine learning models do they explore?

Ex Input:
We built a phrase-based Chinese-to-English SMT system by using Moses BIBREF18 . In the end, the final parallel text consists of around 8.8M sentence pairs, 228M Chinese tokens, and 254M English tokens (a token can be a word or punctuation symbol). The total number of words in these two corpora is 1.81M for Chinese and 2.03M for English.

Ex Output:
Did they only experiment with one language pair?