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.

The speech content was obtained from the closed captions (CC) provided by the YouTube ASR system which can be though as subtitles.
What ASR system do they use?

CFQ contains 239,357 English question-answer pairs that are answerable using the public Freebase data.
How big is new question answering dataset?

As discussed in Section SECREF2 , a variety of features that measure salience of an entity in text are available from the NLP community. We reimplemented the ones in Dunietz and Gillick BIBREF11 . This includes a variety of features, e.g. positional features, occurrence frequency and the internal POS structure of the entity and the sentence it occurs in.
What features are used to represent the salience and relative authority of entities?