Paper: Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining

ACL ID P10-1066
Title Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

In this paper, we propose a novel approach to automatic generation of summary tem- plates from given collections of summary articles. This kind of summary templates can be useful in various applications. We first develop an entity-aspect LDA model to simultaneously cluster both sentences and words into aspects. We then apply fre- quent subtree pattern mining on the depen- dency parse trees of the clustered and la- beled sentences to discover sentence pat- terns that well represent the aspects. Key features of our method include automatic grouping of semantically related sentence patterns and automatic identification of template slots that need to be filled in. We apply our method on five Wikipedia entity categories and compare our method with two baseline methods. Both quantitative evaluat...