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
Authors

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...