Paper: Generating Synthetic Comparable Questions for News Articles

ACL ID P13-1073
Title Generating Synthetic Comparable Questions for News Articles
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013

We introduce the novel task of automati- cally generating questions that are relevant to a text but do not appear in it. One mo- tivating example of its application is for increasing user engagement around news articles by suggesting relevant compara- ble questions, such as ?is Beyonce a bet- ter singer than Madonna??, for the user to answer. We present the first algorithm for the task, which consists of: (a) of- fline construction of a comparable ques- tion template database; (b) ranking of rel- evant templates to a given article; and (c) instantiation of templates only with enti- ties in the article whose comparison un- der the template?s relation makes sense. We tested the suggestions generated by our algorithm via a Mechanical Turk ex- periment, which showed a significant im- provement...