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Generating templates of entity summaries with an entity-aspect model and pattern mining
Abstract In this paper, we propose a novel approachIn this paper, we propose a novel approach to automatic generation of summary templates 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 frequent subtree pattern mining on the dependency parse trees of the clustered and labeled sentences to discover sentence patterns 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 evaluation based on human judgment and qualitative comparison demonstrate the effectiveness and advantages of our method.ffectiveness and advantages of our method.
Abstractsub In this paper, we propose a novel approachIn this paper, we propose a novel approach to automatic generation of summary templates 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 frequent subtree pattern mining on the dependency parse trees of the clustered and labeled sentences to discover sentence patterns 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 evaluation based on human judgment and qualitative comparison demonstrate the effectiveness and advantages of our method.ffectiveness and advantages of our method.
Bibtextype inproceedings  +
Has author Li P. + , Jian Jiang + , Yafang Wang +
Has extra keyword Automatic Generation + , Automatic identification + , Baseline methods + , Frequent subtrees + , Human judgments + , Key feature + , Parse trees + , Pattern mining + , Quantitative evaluation + , Wikipedia + , Automation + , Computational linguistics +
Isbn 9781617388088  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 640–649  +
Published in ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference +
Title Generating templates of entity summaries with an entity-aspect model and pattern mining +
Type conference paper  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 7 November 2014 18:58:36  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 18:58:36  +
DateThis property is a special property in this wiki. 2010  +
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Generating templates of entity summaries with an entity-aspect model and pattern mining + Title
 

 

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