Paper: Automatic Generation of Information-seeking Questions Using Concept Clusters

ACL ID P09-2024
Title Automatic Generation of Information-seeking Questions Using Concept Clusters
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

One of the basic problems of efficiently generating information-seeking dialogue in interactive question answering is to find the topic of an information-seeking ques- tion with respect to the answer documents. In this paper we propose an approach to solving this problem using concept clus- ters. Our empirical results on TREC col- lections and our ambiguous question col- lection shows that this approach can be successfully employed to handle ambigu- ous and list questions.