The input to our model is a question q and a set of documents Since the documents could be retrieved by a search engine (e.g., up to 50 webpages in the unfiltered version of TriviaQA (Joshi et al., 2017)) or Wikipedia articles could contain hundreds of paragraphs, we therefore first discard irrelevant document content at paragraph level.
the top-4 candidates contain very similar reading scores from 11.1 to 11.3, which matches the observations of Clark and Gardner (2018).