Rating Computer-Generated Questions with Mechanical Turk
Any type of content formally published in an academic journal, usually following a peer-review process.
We use Amazon Mechanical Turk to rate computer-generated reading comprehension questions about Wikipedia articles. Such application-specific ratings can be used to train statistical rankers to improve systems’ final output, or to evaluate technologies that generate natural language. We discuss the question rating scheme we developed, assess the quality of the ratings that we gathered through Amazon Mechanical Turk, and show evidence that these ratings can be used to improve question generation.